Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

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作者：Christos Katrakazas^a ; ^{c.katrakazas@lboro.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Mohammed Quddus^a ; ^{m.a.quddus@lboro.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Wen-Hua Chen^b ; ¹ ; ^{w.chen@lboro.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Lipika Deka^a ; ^{l.deka@lboro.ac.uk" class="auth_mail" title="E-mail the corresponding author}
关键词：Path planning ; Obstacle detection ; Trajectory planning ; Autonomous vehicles ; V2I
刊名：Transportation Research Part C: Emerging Technologies
出版年：2015
出版时间：November 2015
年：2015
卷：60
期：Complete
页码：416-442
全文大小：2338 K

文摘

class="label">•: In-depth analysis of motion planning methods for autonomous on-road driving.
class="label">•: Path, manoeuvre and trajectory motion planning approaches are compared and contrasted.
class="label">•: Decision making and handling of obstacles highlighted as the main areas of concern.
class="label">•: Incorporating transport engineering & operations aspects to motion planning methods.

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