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\refsection{0}
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    \entry{Eugenio2012}{thesis}{}
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           given={Eug�nio\bibnamedelima Paulo},
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      }
      \list{institution}{1}{%
        {Departamento de Engenharia Mec�nica, Universidade de Aveiro}%
      }
      \strng{namehash}{9cb14f5dc8eb206b06744c693f4018d1}
      \strng{fullhash}{9cb14f5dc8eb206b06744c693f4018d1}
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      \field{labelyear}{2012}
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      \field{labeltitlesource}{title}
      \field{abstract}{The work presented in this thesis expands an existing extrinsic calibration in ATLASCAR 1, an autonomous vehicle, and in indoors tests.}
      \field{annotation}{Tese Tiago Silva}
      \field{title}{{Navega��o em Ambientes Exteriores do Rob� da S�rie Atlas 2000}}
      \field{type}{Disserta��o de mestrado}
      \field{year}{2012}
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/Tese_David_Silva_65033.pdf:pdf
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      \verb{url}
      \verb http://hdl.handle.net/10773/9678
      \endverb
    \endentry
    \entry{Ansuategui2014}{article}{}
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      \field{labelyear}{2014}
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      \field{abstract}{{�} 2014 A. Ansuategui et al.The task of planning a collision-free trajectory from a start to a goal position is fundamental for an autonomous mobile robot. Although path planning has been extensively investigated since the beginning of robotics, there is no agreement on how to measure the performance of a motion algorithm. This paper presents a new approach to perform robot trajectories comparison that could be applied to any kind of trajectories and in both simulated and real environments. Given an initial set of features, it automatically selects the most significant ones and performs a statistical comparison using them. Additionally, a graphical data visualization named polygraph which helps to better understand the obtained results is provided. The proposed method has been applied, as an example, to compare two different motion planners, FM2 and WaveFront, using different environments, robots, and local planners.}
      \field{annotation}{Avalia��o de trajet�rias. Introdu��o com justifica��o do uso de simuladores.}
      \field{journaltitle}{The Scientific World Journal}
      \field{title}{{Robot trajectories comparison: A statistical approach}}
      \field{volume}{2014}
      \field{year}{2014}
      \verb{doi}
      \verb 10.1155/2014/298462
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      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/298462.pdf:pdf
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    \entry{Bimbraw2015}{article}{}
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      \field{labelyear}{2015}
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      \field{labeltitlesource}{title}
      \field{abstract}{The field of autonomous automation is of interest to researchers, and much has been accomplished in this area, of which this paper presents a detailed chronology. This paper can help one understand the trends in autonomous vehicle technology for the past, present, and future. We see a drastic change in autonomous vehicle technology since 1920s, when the first radio controlled vehicles were designed. In the subsequent decades, we see fairly autonomous electric cars powered by embedded circuits in the roads. By 1960s, autonomous cars having similar electronic guide systems came into picture. 1980s saw vision guided autonomous vehicles, which was a major milestone in technology and till date we use similar or modified forms of vision and radio guided technologies. Various semi-autonomous features introduced in modern cars such as lane keeping, automatic braking and adaptive cruise control are based on such systems. Extensive network guided systems in conjunction with vision guided features is the future of autonomous vehicles. It is predicted that most companies will launch fully autonomous vehicles by the advent of next decade. The future of autonomous vehicles is an ambitious era of safe and comfortable transportation.}
      \field{journaltitle}{Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics}
      \field{number}{August}
      \field{title}{{Autonomous Cars: Past, Present and Future - A Review of the Developments in the Last Century, the Present Scenario and the Expected Future of Autonomous Vehicle Technology}}
      \field{year}{2015}
      \field{pages}{191\bibrangedash 198}
      \range{pages}{8}
      \verb{doi}
      \verb 10.5220/0005540501910198
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      \verb{file}
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      \keyw{accomplished in this,and much has been,automation,automation is of interest,autonomous cars,autonomous vehicles,cars,intelligent transportation,mechatronics systems,technologies and systems,the field of autonomous,to researchers}
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    \entry{Borenstein1991}{article}{}
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      \field{labelyear}{1991}
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      \field{abstract}{A real-time obstacle avoidance method for mobile robots.}
      \field{annotation}{VHF}
      \field{journaltitle}{IEEE Journal of Robotics and Automation}
      \field{number}{3}
      \field{title}{{The Vector Field Histogram - Fast Obstacle Avoidance for Mobile Robots}}
      \field{volume}{7}
      \field{year}{1991}
      \field{pages}{278\bibrangedash 288}
      \range{pages}{11}
      \verb{doi}
      \verb 10.1109/70.88137
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      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/10.1.1.22.2796.pdf:pdf
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    \entry{Ulrich1998}{article}{}
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           family={Ulrich},
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           given={Iwan},
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      \field{sortinit}{B}
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      \field{labelyear}{1998}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper presents further developments of the nearlier Vector Field Histogram (VFH) method for real.}
      \field{annotation}{VHF+}
      \field{eprintclass}{10.1109}
      \field{eprinttype}{arXiv}
      \field{journaltitle}{IEEE International Conference on Robotics and Automation}
      \field{number}{April}
      \field{title}{{VFH+: reliable obstacle avoidance for fast mobile robots}}
      \field{year}{1998}
      \field{pages}{1572\bibrangedash 1577}
      \range{pages}{6}
      \verb{doi}
      \verb 10.1109/ROBOT.1998.677362
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      \verb{file}
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      \keyw{*file-import-10-04-21}
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    \entry{Broggi2012}{article}{}
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      \strng{fullhash}{b07aa5e7439db2e0a81803aa57d4b797}
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      \field{labelyear}{2012}
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      \field{abstract}{Autonomous driving is one of the most interesting fields of research, with a important applications, like agricultural, military and, most significantly, safety. This paper addresses the problem of designing a general purpose path planner and its associated low level control for autonomous vehicles operating in unknown environments.}
      \field{journaltitle}{Annual Reviews in Control}
      \field{number}{1}
      \field{title}{{Autonomous vehicles control in the VisLab Intercontinental Autonomous Challenge}}
      \field{volume}{36}
      \field{year}{2012}
      \field{pages}{161\bibrangedash 171}
      \range{pages}{11}
      \verb{doi}
      \verb 10.1016/j.arcontrol.2012.03.012
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      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S1367578812000132-main.pdf:pdf
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      \keyw{Autonomous navigation,Path planning}
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      \field{labelyear}{2013}
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      \field{abstract}{This paper presents the vision of the Artificial Vision and Intelligent Systems Laboratory (VisLab) on future automated vehicles, ranging from sensor selection up to their extensive testing. VisLab's design choices are explained using the BRAiVE autonomous vehicle prototype as an example. BRAiVE, which is specifically designed to develop, test, and demonstrate advanced safety applications with different automation levels, features a high integration level and a low-cost sensor suite, which are mainly based on vision, as opposed to many other autonomous vehicle implementations based on expensive and invasive sensors. The importance of performing extensive tests to validate the design choices is considered to be a hard requirement, and different tests have been organized, including an intercontinental trip from Italy to China. This paper also presents the test, the main challenges, and the vehicles that have been specifically developed for this test, which was performed by four autonomous vehicles based on BRAiVE's architecture. This paper also includes final remarks on VisLab's perspective on future vehicles' sensor suite.}
      \field{journaltitle}{IEEE Transactions on Intelligent Transportation Systems}
      \field{number}{3}
      \field{title}{{Extensive tests of autonomous driving technologies}}
      \field{volume}{14}
      \field{year}{2013}
      \field{pages}{1403\bibrangedash 1415}
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      \keyw{ADAS,HMI,autonomous vehicles,robot navigation,sensor integration,vision-based guidance}
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    \entry{Azevedo2014}{thesis}{}
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      \field{abstract}{The work presented in this thesis expands an existing extrinsic calibration in ATLASCAR 1, an autonomous vehicle, and in indoors tests.}
      \field{annotation}{Tese Rui Azevedo}
      \field{title}{{Sensor Fusion of LASER and Vision in Active Pedestrian Detection}}
      \field{type}{Disserta��o de mestrado}
      \field{year}{2014}
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      \field{booktitle}{Introduction to Algorithms, Second ed.}
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      \field{sortinithash}{c6a7d9913bbd7b20ea954441c0460b78}
      \field{labelyear}{2015}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{isbn}{978-1-78398-758-0}
      \field{series}{Nonserial Publication}
      \field{title}{Learning ROS for Robotics Programming, Second Edition}
      \field{year}{2015}
    \endentry
    \entry{GaneshaPerumal2016}{article}{}
      \name{author}{4}{}{%
        {{uniquename=0,hash=fb1eb39d4ea5ee897beb62d0e044dcca}{%
           family={{Ganesha\bibnamedelimb Perumal}},
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           given={D.},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=12f7bab97b8bbd212eab0bdb864501bd}{%
           family={Subathra},
           family_i={S\bibinitperiod},
           given={B.},
           given_i={B\bibinitperiod}}}%
        {{uniquename=0,hash=e8b448e4978923292d1b4fee304b868a}{%
           family={Saravanakumar},
           family_i={S\bibinitperiod},
           given={G.},
           given_i={G\bibinitperiod}}}%
        {{uniquename=0,hash=4b5b02624bf5451c9a61b37a012809c9}{%
           family={Srinivasan},
           family_i={S\bibinitperiod},
           given={Seshadhri},
           given_i={S\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {Elsevier B.V.}%
      }
      \strng{namehash}{9b14baeea9260bdf735829f5394cf557}
      \strng{fullhash}{4ef3e9a46eb080d8160ed37c75b16850}
      \field{sortinit}{G}
      \field{sortinithash}{1c854ef9177a91bf894e66485bdbd3ed}
      \field{labelyear}{2016}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Path-planning algorithms that can circumvent moving obstacles are required for realizing reliable autonomous vehicles. This investigation presents a path-planning algorithm for autonomous vehicle (AV) that uses infrastructure-to-vehicle (I2V) communication, Extended Kalman Filter (EKF) and behaviour based hybrid controllers for circumventing moving obstacles. The I2V communication provides the measurements required for estimating the current vehicle position. Vehicle mounted sensors are used to ascertain the current obstacle position and the dynamical equations are used to predict the future obstacle position. The EKF then estimates the future position of the vehicle relative to the obstacles and uses a hybrid controller that switches among the possible control actions. Our results show that the EKF based path-planning algorithm is able to circumvent moving obstacles even with non-linear dynamics.}
      \field{annotation}{Planeamento de trajet�ria utilizando filtros de Kalman, previs�o do movimento de obst�culos din�micos e uma base de dados de comportamentos possiveis.}
      \field{journaltitle}{IFAC-PapersOnLine}
      \field{number}{1}
      \field{title}{{Extended kalman filter based path-planning algorithm for autonomous vehicles with I2V communication}}
      \field{volume}{49}
      \field{year}{2016}
      \field{pages}{652\bibrangedash 657}
      \range{pages}{6}
      \verb{doi}
      \verb 10.1016/j.ifacol.2016.03.130
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S2405896316301306-main.pdf:pdf
      \endverb
      \keyw{Autonomous Vehicle Path-Planning (AVPP),Behaviour based controller,Extended Kalman Filter (EKF),Infrastructure-to-vehicle (I2V)}
    \endentry
    \entry{Geraerts2006}{article}{}
      \name{author}{2}{}{%
        {{uniquename=0,hash=96a177c6eb0b7c6ba1ef5e4f0c42dab5}{%
           family={Geraerts},
           family_i={G\bibinitperiod},
           given={Roland},
           given_i={R\bibinitperiod}}}%
        {{uniquename=0,hash=c1563dc06659f7f3e840771bdd7d6c7f}{%
           family={Overmars},
           family_i={O\bibinitperiod},
           given={Mark\bibnamedelima H},
           given_i={M\bibinitperiod\bibinitdelim H\bibinitperiod}}}%
      }
      \strng{namehash}{202a6cbf1e4f97f3aaf17c93a0747cc8}
      \strng{fullhash}{bd48f1ae1d0f6065cd1390a3193b75b9}
      \field{sortinit}{G}
      \field{sortinithash}{1c854ef9177a91bf894e66485bdbd3ed}
      \field{labelyear}{2006}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{annotation}{PRM}
      \field{journaltitle}{Robotics and Autonomous Systems}
      \field{title}{{Sampling and node adding in probabilistic roadmap planners}}
      \field{volume}{54}
      \field{year}{2006}
      \field{pages}{165\bibrangedash 173}
      \range{pages}{9}
      \verb{doi}
      \verb 10.1016/j.robot.2005.09.026
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S0921889005001569-main.pdf:pdf
      \endverb
      \keyw{comparative study,motion planning,node adding techniques,prm,sampling techniques}
    \endentry
    \entry{Goodrich2002}{inproceedings}{}
      \name{author}{2}{}{%
        {{uniquename=0,hash=dfe012ec26e2e45caf3b5e64e0c46f4b}{%
           family={Goodrich},
           family_i={G\bibinitperiod},
           given={Michael\bibnamedelima A.},
           given_i={M\bibinitperiod\bibinitdelim A\bibinitperiod}}}%
        {{uniquename=0,hash=721422ce7daca3778eee2e350d946632}{%
           family={Brooks},
           family_i={B\bibinitperiod},
           given={Rodney},
           given_i={R\bibinitperiod}}}%
      }
      \strng{namehash}{41114b1548c271b89c9ae3e885cbe784}
      \strng{fullhash}{99eddb787839988fa0a59e70eb21b050}
      \field{sortinit}{G}
      \field{sortinithash}{1c854ef9177a91bf894e66485bdbd3ed}
      \field{labelyear}{2002}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{booktitle}{Class Notes 157}
      \field{title}{Potential Fields Tutorial}
      \field{year}{2002}
    \endentry
    \entry{Gruyer2017}{article}{}
      \name{author}{6}{}{%
        {{uniquename=0,hash=7196983c7c3040eb6b28bc7ffe682319}{%
           family={Gruyer},
           family_i={G\bibinitperiod},
           given={Dominique},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=8d7814fa12f905bade3b18693106e6de}{%
           family={Magnier},
           family_i={M\bibinitperiod},
           given={Valentin},
           given_i={V\bibinitperiod}}}%
        {{uniquename=0,hash=49f18bee9a5b20af72d3d422f8235a00}{%
           family={Hamdi},
           family_i={H\bibinitperiod},
           given={Karima},
           given_i={K\bibinitperiod}}}%
        {{uniquename=0,hash=e879b6ebde413043f6407280c736e639}{%
           family={Claussmann},
           family_i={C\bibinitperiod},
           given={Laur�ne},
           given_i={L\bibinitperiod}}}%
        {{uniquename=0,hash=95b51100cbf53e7efc47b608f4d374a0}{%
           family={Orfila},
           family_i={O\bibinitperiod},
           given={Olivier},
           given_i={O\bibinitperiod}}}%
        {{uniquename=0,hash=e9a2bf9f0d8a6bb5eb4b8dfb3785c869}{%
           family={Rakotonirainy},
           family_i={R\bibinitperiod},
           given={Andry},
           given_i={A\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {Elsevier Ltd}%
      }
      \strng{namehash}{93fd461f96b0876b9ca7da29b59d1c7f}
      \strng{fullhash}{ea40d74ff191bfc17477f7ddb4d30a50}
      \field{sortinit}{G}
      \field{sortinithash}{1c854ef9177a91bf894e66485bdbd3ed}
      \field{labelyear}{2017}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Over the last decades, the development of Advanced Driver Assistance Systems (ADAS) has become a critical endeavor to attain different objectives: safety enhancement, mobility improvement, energy optimization and comfort. In order to tackle the first three objectives, a considerable amount of research focusing on autonomous driving have been carried out. Most of these works have been conducted within collaborative research programs involving car manufacturers, OEM and research laboratories around the world.}
      \field{journaltitle}{Annual Reviews in Control}
      \field{title}{{Perception, information processing and modeling: Critical stages for autonomous driving applications}}
      \field{volume}{44}
      \field{year}{2017}
      \field{pages}{323\bibrangedash 341}
      \range{pages}{19}
      \verb{doi}
      \verb 10.1016/j.arcontrol.2017.09.012
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S136757881730113X-main.pdf:pdf
      \endverb
      \keyw{Artificial intelligence,Automated driving,Driver modeling,Internet of Things,Perception,Quantified self}
    \endentry
    \entry{Guiggiani2014}{incollection}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=e18baab507107bfd84851fbc73ec658c}{%
           family={Guiggiani},
           family_i={G\bibinitperiod},
           given={Massimo},
           given_i={M\bibinitperiod}}}%
      }
      \name{editor}{1}{}{%
        {{hash=72136dce8381aafddbdf347c2083112e}{%
           family={Media},
           family_i={M\bibinitperiod},
           given={Springer\bibnamedelima Science+Business},
           given_i={S\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
      }
      \list{location}{1}{%
        {London, UK}%
      }
      \list{publisher}{1}{%
        {Springer}%
      }
      \strng{namehash}{e18baab507107bfd84851fbc73ec658c}
      \strng{fullhash}{e18baab507107bfd84851fbc73ec658c}
      \field{sortinit}{G}
      \field{sortinithash}{1c854ef9177a91bf894e66485bdbd3ed}
      \field{labelyear}{2014}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{booktitle}{The Science of Vehicle Dynamics}
      \field{chapter}{1}
      \field{year}{2014}
      \field{pages}{1 � 6}
      \range{pages}{-1}
    \endentry
    \entry{Harabor2011}{article}{}
      \name{author}{2}{}{%
        {{uniquename=0,hash=3421c8a0f5e4de66289bbfcbff4cbc72}{%
           family={Harabor},
           family_i={H\bibinitperiod},
           given={Dd},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=e100ad477d1929474a6dc438f72dfe10}{%
           family={Grastien},
           family_i={G\bibinitperiod},
           given={Alban},
           given_i={A\bibinitperiod}}}%
      }
      \strng{namehash}{6f2733364f74c4e6cf2e05f12643913b}
      \strng{fullhash}{d162aabeca445bde35f0d30b7c976b65}
      \field{sortinit}{H}
      \field{sortinithash}{82012198d5dfa657b8c4a168793268a6}
      \field{labelyear}{2011}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Pathfinding in uniform-cost grid environments is a problem commonly found in application areas such as robotics and video games. The state-of-the-art is dominated by hierar- chical pathfinding algorithms which are fast and have small memory overheads but usually return suboptimal paths.}
      \field{annotation}{JPS}
      \field{isbn}{9781577355090}
      \field{journaltitle}{AAAI Conference on Artificial Intelligence}
      \field{title}{{Online Graph Pruning for Pathfinding On Grid Maps.}}
      \field{volume}{25}
      \field{year}{2011}
      \field{pages}{1114\bibrangedash 1119}
      \range{pages}{6}
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/3761-16440-1-PB.pdf:pdf
      \endverb
      \keyw{Robotics}
    \endentry
    \entry{Hart1972}{article}{}
      \name{author}{3}{}{%
        {{uniquename=0,hash=9faccd7cefce54e75fa36db39e213ee5}{%
           family={Hart},
           family_i={H\bibinitperiod},
           given={Peter\bibnamedelima E.},
           given_i={P\bibinitperiod\bibinitdelim E\bibinitperiod}}}%
        {{uniquename=0,hash=407eee818ab4eb5afcc433c517ffe86e}{%
           family={Nilsson},
           family_i={N\bibinitperiod},
           given={Nils\bibnamedelima J.},
           given_i={N\bibinitperiod\bibinitdelim J\bibinitperiod}}}%
        {{uniquename=0,hash=253a4de6b29f96e30136e368e9af44d0}{%
           family={Raphael},
           family_i={R\bibinitperiod},
           given={Bertram},
           given_i={B\bibinitperiod}}}%
      }
      \strng{namehash}{42fae68a075d889ea7062085befad056}
      \strng{fullhash}{161258638278e76669a4d0e113b8bd1b}
      \field{sortinit}{H}
      \field{sortinithash}{82012198d5dfa657b8c4a168793268a6}
      \field{labelyear}{1968}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Although the problem of determining the minimum cost path through a graph arises naturally.}
      \field{annotation}{A*}
      \field{journaltitle}{IEEE Transactions of Sistems Science and Cybernetics}
      \field{number}{37}
      \field{title}{{A Formal Basis for the Heuristic Determination of Minimum Cost Paths}}
      \field{volume}{2}
      \field{year}{1968}
      \field{pages}{100\bibrangedash 107}
      \range{pages}{8}
      \verb{doi}
      \verb 10.1145/1056777.1056779
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/astar.pdf:pdf
      \endverb
    \endentry
    \entry{Lee2013}{article}{}
      \name{author}{3}{}{%
        {{uniquename=0,hash=a4f264b17095bc6e473f4d6c73b036ba}{%
           family={Hess},
           family_i={H\bibinitperiod},
           given={Robin},
           given_i={R\bibinitperiod}}}%
        {{uniquename=0,hash=98dd94ab00e29033edec324b82d9f89b}{%
           family={Kempf},
           family_i={K\bibinitperiod},
           given={Florian},
           given_i={F\bibinitperiod}}}%
        {{uniquename=0,hash=d0e9365d3680a63f010909694e7a8a08}{%
           family={Schilling},
           family_i={S\bibinitperiod},
           given={Klaus},
           given_i={K\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {IFAC}%
      }
      \strng{namehash}{868e724b70eb9696017c5ca7bcd1268f}
      \strng{fullhash}{86c0ca597abe173d1d2eed259c4425dd}
      \field{sortinit}{H}
      \field{sortinithash}{82012198d5dfa657b8c4a168793268a6}
      \field{labelyear}{2013}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper propose a method for designing the tracking control of nonholonomic wheeled mobile robots based on a new sliding surface with an approach angle. In order to remove the singular point problem at the origin, we consider the kinematic model in Cartesian coordinates. Also, we design a new sliding surface with an approach angle to solve the sliding surface constraints problem. Therefore, with the proposed controller, we derive the control input for arbitrary trajectories. We prove that the position tracking error converges to zero by using the Lyapunov stability theory.}
      \field{journaltitle}{IFAC Symposium on Telematics Applications}
      \field{number}{11-13}
      \field{title}{{Trajectory Planning for Car-Like Robots using Rapidly Exploring Random Trees*}}
      \field{volume}{3}
      \field{year}{2013}
      \field{pages}{44\bibrangedash 49}
      \range{pages}{6}
      \verb{doi}
      \verb 10.3182/20131111-3-KR-2043.00018
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S1474667015343603-main.pdf:pdf
      \endverb
      \keyw{Approach angle,Disturbance,Kinematic,Sliding mode control,Tracking control,Wheeled mobile robot}
    \endentry
    \entry{Hu2018}{article}{}
      \name{author}{5}{}{%
        {{uniquename=0,hash=7907648450ee9c2cac986b79fd64d78b}{%
           family={Hu},
           family_i={H\bibinitperiod},
           given={Xuemin},
           given_i={X\bibinitperiod}}}%
        {{uniquename=0,hash=2b01d303567b99056235e81bd74fd50e}{%
           family={Chen},
           family_i={C\bibinitperiod},
           given={Long},
           given_i={L\bibinitperiod}}}%
        {{uniquename=0,hash=67971c3e14fe9d41c28c336576a7c854}{%
           family={Tang},
           family_i={T\bibinitperiod},
           given={Bo},
           given_i={B\bibinitperiod}}}%
        {{uniquename=0,hash=2e9f8c2f9f75e11add1ed60099cdcc1a}{%
           family={Cao},
           family_i={C\bibinitperiod},
           given={Dongpu},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=bb5eb80bb4dc903dbeef6eb15c0155e5}{%
           family={He},
           family_i={H\bibinitperiod},
           given={Haibo},
           given_i={H\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {Elsevier Ltd}%
      }
      \strng{namehash}{4a5c02f5500b3072d0d5ba0546e1bf4a}
      \strng{fullhash}{c4c99de3f21b2969123c54831c18118f}
      \field{sortinit}{H}
      \field{sortinithash}{82012198d5dfa657b8c4a168793268a6}
      \field{labelyear}{2018}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper presents a real-time dynamic path planning method for autonomous driving that avoids both static and moving obstacles. The proposed path planning method determines not only an optimal path, but also the appropriate acceleration and speed for a vehicle. In this method, we first construct a center line from a set of predefined waypoints, which are usually obtained from a lane-level map.}
      \field{journaltitle}{Mechanical Systems and Signal Processing}
      \field{title}{{Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles}}
      \field{volume}{100}
      \field{year}{2018}
      \field{pages}{482\bibrangedash 500}
      \range{pages}{19}
      \verb{doi}
      \verb 10.1016/j.ymssp.2017.07.019
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S0888327017303825-main.pdf:pdf
      \endverb
      \keyw{Autonomous driving,Obstacle avoidance,Path generation,Path planning,Path selection}
    \endentry
    \entry{Jo2013}{article}{}
      \name{author}{12}{}{%
        {{uniquename=0,hash=a352d6e6482bc4ddd3e6e7b97ca95626}{%
           family={Jo},
           family_i={J\bibinitperiod},
           given={Kichun},
           given_i={K\bibinitperiod}}}%
        {{uniquename=0,hash=bb8b1ef99c826d201258d1bd9c4cb18b}{%
           family={Lee},
           family_i={L\bibinitperiod},
           given={Minchae},
           given_i={M\bibinitperiod}}}%
        {{uniquename=0,hash=86cad2bf9bfa5d0dfebe8bd563e51c07}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Dongchul},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=a89d116ec8ca132b4b320c59cefd36cb}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Junsoo},
           given_i={J\bibinitperiod}}}%
        {{uniquename=0,hash=22f144d157cd85dc5562e05c025b6ea2}{%
           family={Jang},
           family_i={J\bibinitperiod},
           given={Chulhoon},
           given_i={C\bibinitperiod}}}%
        {{uniquename=0,hash=3783760886e1c6835fbf67047fb8ad40}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Euiyun},
           given_i={E\bibinitperiod}}}%
        {{uniquename=0,hash=3921f2588cb479f4b01047091094092a}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Sangkwon},
           given_i={S\bibinitperiod}}}%
        {{uniquename=0,hash=d36897d49afcdee2757c3e0ce8011579}{%
           family={Lee},
           family_i={L\bibinitperiod},
           given={Donghwi},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=003b56801aaedb7a870b8bb2986b87df}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Changsup},
           given_i={C\bibinitperiod}}}%
        {{uniquename=0,hash=f2be65f4e4f78e8b75b858fe7b5e4e6e}{%
           family={Kim},
           family_i={K\bibinitperiod},
           given={Seungki},
           given_i={S\bibinitperiod}}}%
        {{uniquename=0,hash=819c3ac9c042e2c2cbc5dc79dbff49b5}{%
           family={Huh},
           family_i={H\bibinitperiod},
           given={Kunsoo},
           given_i={K\bibinitperiod}}}%
        {{uniquename=0,hash=b2a76561dbc108678d053a5d1f023043}{%
           family={Sunwoo},
           family_i={S\bibinitperiod},
           given={Myoungho},
           given_i={M\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {IFAC}%
      }
      \strng{namehash}{df4a2f37a2f14b837ddf718a0078c1be}
      \strng{fullhash}{eff58bf1d5ab46cc82c74852faa0d182}
      \field{sortinit}{J}
      \field{sortinithash}{ec3950a647c092421b9fcca6d819504a}
      \field{labelyear}{2013}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper describes an autonomous vehicle A1 that won the Hyundai Motor Group 2012 Autonomous Vehicle Competition. The A1 was developed for autonomous on-road and off-road driving conditions without driver intervention. The autonomous driving system consists of four parts that are localization, perception, planning, and control.}
      \field{journaltitle}{IFAC Intelligent Autonomous Vehicles Symposium}
      \field{number}{26-28}
      \field{title}{{Overall reviews of autonomous vehicle A1 - System architecture and algorithms}}
      \field{volume}{8}
      \field{year}{2013}
      \field{pages}{114\bibrangedash 119}
      \range{pages}{6}
      \verb{doi}
      \verb 10.3182/20130626-3-AU-2035.00052
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S1474667015349193-main.pdf:pdf
      \endverb
      \keyw{Autonomous vehicles,Control,Localization,Perception,Planning,System architecture}
    \endentry
    \entry{Kim2012}{article}{}
      \name{author}{3}{}{%
        {{uniquename=0,hash=597d8344699daace9e78e0aa333ea7ef}{%
           family={De-Juan},
           family_i={D\bibinithyphendelim J\bibinitperiod},
           given={A.},
           given_i={A\bibinitperiod}}}%
        {{uniquename=0,hash=228c382aaf19c26e4094820653f7887a}{%
           family={Sancibrian},
           family_i={S\bibinitperiod},
           given={R.},
           given_i={R\bibinitperiod}}}%
        {{uniquename=0,hash=46067ececa66212ab9db10a650ffacf6}{%
           family={Viadero},
           family_i={V\bibinitperiod},
           given={F.},
           given_i={F\bibinitperiod}}}%
      }
      \strng{namehash}{54f2d29fd3980bb10c43cc6a533f15b8}
      \strng{fullhash}{04486d0b46a27e2f97fb0c0a940d24fc}
      \field{sortinit}{J}
      \field{sortinithash}{ec3950a647c092421b9fcca6d819504a}
      \field{labelyear}{2012}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This study examines the cold performance of biodiesel blends in a passenger car and a light duty truck at −16 °C and −20 °C. Six different types of biodiesels derived from soybean oil, waste cooking oil, rapeseed oil, cottonseed oil, palm oil and jatropha oil were blended with different volume ratios (B5 (5 vol. {\%} biodiesel — 95 vol. {\%} diesel), B10 and B20). The cold filter plugging point (CFPP) and the cloud point had an effect on the startability and driveability of both the passenger car and the light duty truck. The startability and driveability of the passenger car with all biodiesel blends (B5) were generally good at −20 °C. In the light duty truck, biodiesel blends (B10 and B20) of soybean, waste cooking, rapeseed and jatropha tended to be good at −20 °C in the startability and driveability tests than the biodiesel blends (B10 and B20) of cottonseed and palm. In particular, the palm biodiesel blend (B10) failed at −20 °C, and the palm biodiesel blend (B20) also failed at −16 °C in the startability test. The cold flow properties of biodiesel dictate that the length of the hydrocarbon chains and the presence of unsaturated structures significantly affect the low temperature properties of biodiesel.}
      \field{journaltitle}{International Journal of Automotive Technology}
      \field{number}{7}
      \field{title}{{Optimal Synthesis Of Function Generation In Steering Linkages}}
      \field{volume}{13}
      \field{year}{2012}
      \field{pages}{1033\bibrangedash 1046}
      \range{pages}{14}
      \verb{doi}
      \verb 10.1007/s12239-012-0106-4
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/document.pdf:pdf
      \endverb
      \keyw{biodiesel,cold filter plugging point,cold performance,driveability,startability}
    \endentry
    \entry{Katrakazas2015}{article}{}
      \name{author}{4}{}{%
        {{uniquename=0,hash=380ae9f8ea9de3b7a359d60019581631}{%
           family={Katrakazas},
           family_i={K\bibinitperiod},
           given={Christos},
           given_i={C\bibinitperiod}}}%
        {{uniquename=0,hash=41f88546ac18e2d38408089bf2e97df1}{%
           family={Quddus},
           family_i={Q\bibinitperiod},
           given={Mohammed},
           given_i={M\bibinitperiod}}}%
        {{uniquename=0,hash=f8a63ac047e96227e4a3892eea007a76}{%
           family={Chen},
           family_i={C\bibinitperiod},
           given={Wen\bibnamedelima Hua},
           given_i={W\bibinitperiod\bibinitdelim H\bibinitperiod}}}%
        {{uniquename=0,hash=56e0d020c5c6897d04252d8e8ddb5768}{%
           family={Deka},
           family_i={D\bibinitperiod},
           given={Lipika},
           given_i={L\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {Elsevier Ltd}%
      }
      \strng{namehash}{e7a354b02e574b7e5d142c918a591773}
      \strng{fullhash}{8bf8f6f694185e7a678ec1b13595a2b3}
      \field{sortinit}{K}
      \field{sortinithash}{a7d5b3aec5a0890aae7baf85a209abfc}
      \field{labelyear}{2015}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Currently autonomous or self-driving vehicles are at the heart of academia and industry research because of its multi-faceted advantages that includes improved safety, reduced congestion, lower emissions and greater mobility.}
      \field{journaltitle}{Transportation Research Part C: Emerging Technologies}
      \field{title}{{Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions}}
      \field{volume}{60}
      \field{year}{2015}
      \field{pages}{416\bibrangedash 442}
      \range{pages}{27}
      \verb{doi}
      \verb 10.1016/j.trc.2015.09.011
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S0968090X15003447-main.pdf:pdf
      \endverb
      \keyw{Autonomous vehicles,Obstacle detection,Path planning,Trajectory planning,V2I}
    \endentry
    \entry{Lydia1996}{article}{}
      \name{author}{4}{}{%
        {{uniquename=0,hash=b7aabdb1fc53f32b1ca60b596c1aec63}{%
           family={Kavraki},
           family_i={K\bibinitperiod},
           given={Lydia\bibnamedelima E.},
           given_i={L\bibinitperiod\bibinitdelim E\bibinitperiod}}}%
        {{uniquename=0,hash=7ad4fdf04fe8f866467f4b680333bd1d}{%
           family={Svestka},
           family_i={S\bibinitperiod},
           given={Petr},
           given_i={P\bibinitperiod}}}%
        {{uniquename=0,hash=f1b7494703264d3e562759a836f6d716}{%
           family={Latombe},
           family_i={L\bibinitperiod},
           given={Jean-Claude},
           given_i={J\bibinithyphendelim C\bibinitperiod}}}%
        {{uniquename=0,hash=2dcbe0ec66ec79cc1b1ab4f7736c4cab}{%
           family={Overmars},
           family_i={O\bibinitperiod},
           given={Mark\bibnamedelima H.},
           given_i={M\bibinitperiod\bibinitdelim H\bibinitperiod}}}%
      }
      \strng{namehash}{784f025cf093675ef9b57da5a69e8bd5}
      \strng{fullhash}{db6e65114c45f2eb3bcde492caf12e4d}
      \field{sortinit}{K}
      \field{sortinithash}{a7d5b3aec5a0890aae7baf85a209abfc}
      \field{labelyear}{1996}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{annotation}{PRM}
      \field{eprintclass}{10.1109}
      \field{eprinttype}{arXiv}
      \field{journaltitle}{IEEE Transactions on Robotics and Automation}
      \field{number}{4}
      \field{title}{{Probabilistic Roadmaps for Path Planning in High-Dimensional Configuratoin Spaces}}
      \field{volume}{12}
      \field{year}{1996}
      \field{pages}{566\bibrangedash 580}
      \range{pages}{15}
      \verb{doi}
      \verb 10.1109/ROBOT.2000.846405
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/prmbasic_01.pdf:pdf
      \endverb
      \keyw{*file-import-10-04-21}
    \endentry
    \entry{atlasweb}{online}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=b241c427368b346774dc18bc75f67b28}{%
           family={LARlabs},
           family_i={L\bibinitperiod}}}%
      }
      \strng{namehash}{b241c427368b346774dc18bc75f67b28}
      \strng{fullhash}{b241c427368b346774dc18bc75f67b28}
      \field{sortinit}{L}
      \field{sortinithash}{872351f18d0f736066eda0bf18bfa4f7}
      \field{labelyear}{2011}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{title}{Projeto ATLAS - Universidade de Aveiro}
      \field{urlday}{16}
      \field{urlmonth}{05}
      \field{urlyear}{2018}
      \field{year}{2011}
      \verb{url}
      \verb http://atlas.web.ua.pt/index.html
      \endverb
    \endentry
    \entry{LaValle1998}{article}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=b140d7d226c499775f6beaf4d9186cde}{%
           family={LaValle},
           family_i={L\bibinitperiod},
           given={Steven},
           given_i={S\bibinitperiod}}}%
      }
      \strng{namehash}{b140d7d226c499775f6beaf4d9186cde}
      \strng{fullhash}{b140d7d226c499775f6beaf4d9186cde}
      \field{sortinit}{L}
      \field{sortinithash}{872351f18d0f736066eda0bf18bfa4f7}
      \field{labelyear}{1998}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{We introduce the concept of a Rapidly-exploring Random Tree (RRT) as a randomized data structure that is designed for a broad class of path planning problems. While they share many of the beneficial properties of existing randomized planning techniques, RRTs are specifically designed to handle nonholonomic constraints (including dynamics) and high degrees of freedom.}
      \field{annotation}{RRT}
      \field{eprinttype}{arXiv}
      \field{journaltitle}{In}
      \field{title}{{Rapidly-Exploring Random Trees: A New Tool for Path Planning}}
      \field{volume}{129}
      \field{year}{1998}
      \field{pages}{98\bibrangedash 11}
      \range{pages}{-86}
      \verb{doi}
      \verb 10.1.1.35.1853
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/Lav98c.pdf:pdf
      \endverb
    \endentry
    \entry{Li2016}{article}{}
      \name{author}{5}{}{%
        {{uniquename=0,hash=ba9afdabb422ef30c600dd346a418cea}{%
           family={Li},
           family_i={L\bibinitperiod},
           given={Xiaohui},
           given_i={X\bibinitperiod}}}%
        {{uniquename=0,hash=b5e6f199dea905be38eeac1467ca867b}{%
           family={Sun},
           family_i={S\bibinitperiod},
           given={Zhenping},
           given_i={Z\bibinitperiod}}}%
        {{uniquename=0,hash=2e9f8c2f9f75e11add1ed60099cdcc1a}{%
           family={Cao},
           family_i={C\bibinitperiod},
           given={Dongpu},
           given_i={D\bibinitperiod}}}%
        {{uniquename=0,hash=952bd79ef18226de1207bbaf3407c797}{%
           family={He},
           family_i={H\bibinitperiod},
           given={Zhen},
           given_i={Z\bibinitperiod}}}%
        {{uniquename=0,hash=027b941cdce4130ade82e3b37b72d401}{%
           family={Zhu},
           family_i={Z\bibinitperiod},
           given={Qi},
           given_i={Q\bibinitperiod}}}%
      }
      \strng{namehash}{251be786cba2c6ec88c9fc6613a89ac0}
      \strng{fullhash}{987e0c7a36b8a202ba322e95351db042}
      \field{sortinit}{L}
      \field{sortinithash}{872351f18d0f736066eda0bf18bfa4f7}
      \field{labelyear}{2016}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper focuses on the real-time trajectory planning problem for autonomous vehicles driving in realistic urban environments. To solve the complex navigation problem, we adopt a hierarchical motion planning framework. First, a rough reference path is extracted from the digital map using commands from the high-level behavioral planner. The conjugate gradient nonlinear optimization algorithm and the cubic B-spline curve are employed to smoothen and interpolate the reference path sequentially. To follow the refined reference path as well as handle both static and moving objects, the trajectory planning task is decoupled into lateral and longitudinal planning problems within the curvilinear coordinate framework. A rich set of kinematically feasible path candidates are generated to deal with the dynamic traffic both deliberatively and reactively. In the meanwhile, the velocity profile generation is performed to improve driving safety and comfort. After that, the generated trajectories are carefully evaluated by an objective function, which combines behavioral decisions by reasoning about the traffic situations. The optimal collision-free, smooth, and dynamically feasible trajectory is selected and transformed into commands executed by the low-level lateral and longitudinal controllers. Field experiments have been carried out with our test autonomous vehicle on the realistic inner-city roads. The experimental results demonstrated capabilities and effectiveness of the proposed trajectory planning framework and algorithms to safely handle a variety of typical driving scenarios, such as static and moving objects avoidance, lane keeping, and vehicle following, while respecting the traffic rules.}
      \field{annotation}{Trajet�rias curvil�neas com seguimento da linha central da estrada}
      \field{journaltitle}{IEEE/ASME Transactions on Mechatronics}
      \field{number}{2}
      \field{title}{{Real-time trajectory planning for autonomous urban driving: Framework, algorithms, and verifications}}
      \field{volume}{21}
      \field{year}{2016}
      \field{pages}{740\bibrangedash 753}
      \range{pages}{14}
      \verb{doi}
      \verb 10.1109/TMECH.2015.2493980
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/07303933.pdf:pdf
      \endverb
      \keyw{Autonomous urban driving,Real-time trajectory planning,Static obstacles and moving objects avoidance}
    \endentry
    \entry{Madureira2017}{thesis}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=7856a29bea6ffc777092e4b618b9e786}{%
           family={{Madureira\bibnamedelimb Correia}},
           family_i={M\bibinitperiod},
           given={Jos�\bibnamedelima Diogo},
           given_i={J\bibinitperiod\bibinitdelim D\bibinitperiod}}}%
      }
      \list{institution}{1}{%
        {Departamento de Engenharia Mec�nica, Universidade de Aveiro}%
      }
      \strng{namehash}{7856a29bea6ffc777092e4b618b9e786}
      \strng{fullhash}{7856a29bea6ffc777092e4b618b9e786}
      \field{sortinit}{M}
      \field{sortinithash}{2684bec41e9697b92699b46491061da2}
      \field{labelyear}{2017}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Tese do Diogo Madureira}
      \field{annotation}{Tese do Diogo Madureira}
      \field{title}{{Unidade de Perce��o Visual e de Profundidade Para o Atlascar2}}
      \field{type}{Disserta��o de mestrado}
      \field{year}{2017}
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/Dissertacao_final_50321.pdf:pdf
      \endverb
      \verb{url}
      \verb http://hdl.handle.net/10773/22498
      \endverb
    \endentry
    \entry{idirecao}{online}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=7447fe5cd3eb69ce5c370533fd01b5f8}{%
           family={MMC},
           family_i={M\bibinitperiod},
           given={Mitsubishi\bibnamedelimb Motors\bibnamedelima Corporation},
           given_i={M\bibinitperiod\bibinitdelim M\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
      }
      \strng{namehash}{7447fe5cd3eb69ce5c370533fd01b5f8}
      \strng{fullhash}{7447fe5cd3eb69ce5c370533fd01b5f8}
      \field{sortinit}{M}
      \field{sortinithash}{2684bec41e9697b92699b46491061da2}
      \field{extrayear}{1}
      \field{labelyear}{2018}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{title}{MMC-Manuals}
      \field{urlday}{01}
      \field{urlmonth}{05}
      \field{urlyear}{2018}
      \field{year}{2018}
      \verb{url}
      \verb http://mmc-manuals.ru/manuals/i-miev/online/Service_Manual/img/37/ACA02126AB00ENG.pdf
      \endverb
    \endentry
    \entry{ctecnicas}{online}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=7447fe5cd3eb69ce5c370533fd01b5f8}{%
           family={MMC},
           family_i={M\bibinitperiod},
           given={Mitsubishi\bibnamedelimb Motors\bibnamedelima Corporation},
           given_i={M\bibinitperiod\bibinitdelim M\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
      }
      \strng{namehash}{7447fe5cd3eb69ce5c370533fd01b5f8}
      \strng{fullhash}{7447fe5cd3eb69ce5c370533fd01b5f8}
      \field{sortinit}{M}
      \field{sortinithash}{2684bec41e9697b92699b46491061da2}
      \field{extrayear}{2}
      \field{labelyear}{2018}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{title}{MMC-Manuals}
      \field{urlday}{02}
      \field{urlmonth}{05}
      \field{urlyear}{2018}
      \field{year}{2018}
      \verb{url}
      \verb http://mmc-manuals.ru/manuals/i-miev/online/Service_Manual/2013/index_M2.htm
      \endverb
    \endentry
    \entry{Moreau2017}{article}{}
      \name{author}{5}{}{%
        {{uniquename=0,hash=c7f12dd08d913cd52b2b7ff23e86ebe8}{%
           family={Moreau},
           family_i={M\bibinitperiod},
           given={Julien},
           given_i={J\bibinitperiod}}}%
        {{uniquename=0,hash=b77c418e0c17170947516de93fe63ba6}{%
           family={St},
           family_i={S\bibinitperiod},
           given={Pierre\bibnamedelima Melchior},
           given_i={P\bibinitperiod\bibinitdelim M\bibinitperiod}}}%
        {{uniquename=0,hash=549b17120064f714f64f7561f3fc8716}{%
           family={Victor},
           family_i={V\bibinitperiod},
           given={St�phane},
           given_i={S\bibinitperiod}}}%
        {{uniquename=0,hash=6b2215390f6455c86f44a2049659786c}{%
           family={Aioun},
           family_i={A\bibinitperiod},
           given={Fran�ois},
           given_i={F\bibinitperiod}}}%
        {{uniquename=0,hash=ea65aed2ca70e94fa97f0b2dd15b91be}{%
           family={Guillermard},
           family_i={G\bibinitperiod},
           given={Franck},
           given_i={F\bibinitperiod}}}%
      }
      \strng{namehash}{df8f15ba6dd7b42828d20c98e90f5864}
      \strng{fullhash}{5111f10e8d06662c0848e15745da40a0}
      \field{sortinit}{M}
      \field{sortinithash}{2684bec41e9697b92699b46491061da2}
      \field{labelyear}{2017}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{Path planning is an essential stage for mobile robot control. It is more newsworthy than ever in the automotive context and especially for autonomous vehicle. Also, path planning methods need to be adaptive regarding life situations, traffic and obstacle crossing. In this paper, potential field methods are proposed to cope with these constraints and autonomous vehicles are considered equipped with all necessary sensors for obstacle detection.}
      \field{journaltitle}{IFAC Proceedings Volumes (IFAC-PapersOnline)}
      \field{title}{{Path planning with fractional potential fields for autonomous vehicles}}
      \field{volume}{50-1}
      \field{year}{2017}
      \field{pages}{15098\bibrangedash 15103}
      \range{pages}{6}
      \verb{doi}
      \verb 10.1016/j.ifacol.2017.08.2076
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S2405896317327295-main.pdf:pdf
      \endverb
      \keyw{automotive,autonomous vehicle,fractional potential,path planning,potential field}
    \endentry
    \entry{Mouhagir2017}{article}{}
      \name{author}{5}{}{%
        {{uniquename=0,hash=986f4fa33119a8284e6f587195566b97}{%
           family={Mouhagir},
           family_i={M\bibinitperiod},
           given={Hafida},
           given_i={H\bibinitperiod}}}%
        {{uniquename=0,hash=5ac2e3840da415c6961a30a0927e9d1d}{%
           family={Cherfaoui},
           family_i={C\bibinitperiod},
           given={V�ronique},
           given_i={V\bibinitperiod}}}%
        {{uniquename=0,hash=d6d96f07bd1d26095932cea3cadd7a05}{%
           family={Talj},
           family_i={T\bibinitperiod},
           given={Reine},
           given_i={R\bibinitperiod}}}%
        {{uniquename=0,hash=6b2215390f6455c86f44a2049659786c}{%
           family={Aioun},
           family_i={A\bibinitperiod},
           given={Fran�ois},
           given_i={F\bibinitperiod}}}%
        {{uniquename=0,hash=15e2616dd0f7bf28d544e52b71f569d3}{%
           family={Guillemard},
           family_i={G\bibinitperiod},
           given={Franck},
           given_i={F\bibinitperiod}}}%
      }
      \list{publisher}{1}{%
        {Elsevier Ltd}%
      }
      \strng{namehash}{b11a7b83a33a880f5f3f9706f2ba7e9d}
      \strng{fullhash}{3b9b2dce653e3489eda6a8f87e44541d}
      \field{sortinit}{M}
      \field{sortinithash}{2684bec41e9697b92699b46491061da2}
      \field{labelyear}{2017}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{abstract}{This paper considers the trajectory planning problem for an autonomous vehicle given uncertain knowledge about the surrounding environment. We propose to use evidential occupancy grid to deal with sensor uncertainties. Our aim is to develop a planning approach based on clothoid tentacles allowing a vehicle to move autonomously and safely in an environment which is not perfectly known. First, we generate a set of clothoid tentacles in the egocentered reference frame related to the vehicle, then we evaluate each tentacle using several criteria including occupancy criterion with evidential grid.}
      \field{journaltitle}{IFAC Proceedings Volumes (IFAC-PapersOnline)}
      \field{title}{{Trajectory Planning for Autonomous Vehicle in Uncertain Environment Using Evidential Grid}}
      \field{volume}{50-1}
      \field{year}{2017}
      \field{pages}{12545\bibrangedash 12550}
      \range{pages}{6}
      \verb{doi}
      \verb 10.1016/j.ifacol.2017.08.2193
      \endverb
      \verb{file}
      \verb :home/ricardo/Dropbox/Tese/bibliografia/1-s2.0-S240589631732863X-main.pdf:pdf
      \endverb
      \keyw{Autonomous vehicle,Evidential occupancy grid,Path planning}
    \endentry
    \entry{nexus}{online}{}
      \name{author}{1}{}{%
        {{uniquename=0,hash=8c692721fdfc559bf4689567aa48fb47}{%
           family={Nexus},
           family_i={N\bibinitperiod}}}%
      }
      \strng{namehash}{8c692721fdfc559bf4689567aa48fb47}
      \strng{fullhash}{8c692721fdfc559bf4689567aa48fb47}
      \field{sortinit}{N}
      \field{sortinithash}{925374ca63e7594de7fafdb83e64d41d}
      \field{labelyear}{2016}
      \field{datelabelsource}{}
      \field{labelnamesource}{author}
      \field{labeltitlesource}{title}
      \field{title}{Nexus, Servidor P-2308H4/HR4}
      \field{urlday}{03}
      \field{urlmonth}{05}
      \field{urlyear}{2018}
      \field{year}{2016}
      \verb{url}
      \verb https://nexus-solutions.pt/wp-content/uploads/2015/05/NEXUS-SERVIDOR-P-2308H4-HR4.pdf
      \endverb
    \endentry
    \entry{Oliveira2012}{article}{}
      \name{author}{3}{}{%
        {{uniquename=0,hash=ab37a22c2fb73f5aafdc1246e3f5826f}{%
           family={Oliveira},
           family_i={O\bibinitperiod},
           given={Miguel},
           given_i={M\bibinitperiod}}}%
        {{uniquename=0,hash=bff31f24ec81394a2eecd1241506cdd5}{%
           family={Santos},
           family_i={S\bibinitperiod},
           given={Vitor},
           given_i={V\bibinitperiod}}}%
        {{uniquename=0,hash=b4199ba4a0ea66ec637307ecae8ba9b8}{%
           family={Sappa},
           family_i={S\bibinitperiod},
           given={Angel\bibnamedelima D.},
           given_i={A\bibinitperiod\bibinitdelim D\bibinitperiod}}}%
      }
      \strng{namehash}{7a9f8b941f3650adb31458e009db158c}
      \strng{fullhash}{70a2c0b4e06224f85a7db5a8dd7dda39}
      \field{sortinit}{O}
      \field{sortinithash}{7803d2715d5e795e70382b084ab8d00e}
      \field{labelyear}{2012}
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      \field{abstract}{The work presented in this thesis expands an existing extrinsic calibration in ATLASCAR 1, an autonomous vehicle, and in indoors tests.}
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        {{uniquename=0,hash=beb75dcfb476cb9abd4b5ac630a91dfb}{%
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           given={Julius},
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        {{uniquename=0,hash=4ce989d9a00265d6ce3ff843e0aab7d1}{%
           family={Kammel},
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        {{uniquename=0,hash=5112ea130eadef0764fce0145b8b9f91}{%
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      \field{year}{2010}
      \field{pages}{987\bibrangedash 993}
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      \verb 978-1-4244-5040-4/10/$26.00
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      \field{labelnamesource}{author}
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      \field{series}{Nonserial Publication}
      \field{title}{Global Status Report on Road Safety 2015}
      \field{year}{2015}
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      \verb apps.who.int/iris/bitstream/10665/189242/1/9789241565066_eng.pdf?ua=1
      \endverb
    \endentry
  \endsortlist
\endrefsection
\endinput

