“This is a pre-print of an article published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-70836-2_36 Talamino J.P., Sanfeliu A. (2018) Path and Velocity Trajectory Selection in an Anticipative Kinodynamic Motion Planner for Autonomous Driving. In: Ollero A., Sanfeliu A., Montano L., Lau N., Cardeira C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham ; This paper presents an approach for plan generation, seletion and pruning of trajectories for autonomous driving, capable of dealing with dynamic complex environments, such as driving in urban scenarios. The planner rst discretizes the plan space and searches for the best trajectory and velocity prole of the vehicle. The main contributions of this work are the use of G2-splines for path generation and a method that takes into account accelerations and passenger comfort for generating and pruning velocity profiles based on 3rd order splines, both fulfilling kino-dynamic constraints. The proposed methods have been implemented in a motion planner in MATLAB and tested through simulation in different representative scenarios, involving obstacles and other moving vehicles. The simulations show that the planner performs correctly in different dynamic scenarios, maintaining the passenger comfort. ; Peer Reviewed ; Postprint (author's final draft)
Path and velocity trajectory selection in an anticipative kinodynamic motion planner for autonomous driving
2017-01-01
Miscellaneous
Electronic Resource
English
Mobile robots , Intelligent control systems , urban , path planning , Automobile driving--Automatic control , kinodynamic motion planning , G2-splines , Àrees temàtiques de la UPC::Informàtica::Automàtica i control , automation , Automòbils -- Conducció -- Control automàtic , anticipation , Robots mòbils , velocity pro , Simulació per ordinador , control theory. Author keywords: autonomous driving
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