Dynamic Trajectory Generation Using Continuous-Curvature Algorithms for Door to Door Assistance Vehicles

Abstract : In this paper, an algorithm for dynamic path generation in urban environments is presented, taking into account structural and sudden changes in straight and bend segments (e.g. roundabouts and intersections). The results present some improvements in path generation (previously hand plotted) considering parametric equations and continuous-curvature algorithms, which guarantees a comfortable lateral acceleration. This work is focused on smooth and safe path generation using road and obstacle detection information. Finally, some simulation results show a good performance of the algorithm using different ranges of urban curves. The main contribution is an Intelligent Trajectory Generator, which considers infrastructure and vehicle information. This method is recently used in the framework of the project CityMobil2, for urban autonomous guidance of Cybercars.
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Communication dans un congrès
2014 IEEE Intelligent Vehicles Symposium (IV), Jun 2014, Dearborn, United States. 2014, 〈10.1109/IVS.2014.6856526〉
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https://hal.inria.fr/hal-01081298
Contributeur : Joshué Pérez Rastelli <>
Soumis le : mercredi 3 décembre 2014 - 10:43:45
Dernière modification le : mardi 17 avril 2018 - 11:26:24
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Joshué Pérez Rastelli, Ray Lattarulo, Fawzi Nashashibi. Dynamic Trajectory Generation Using Continuous-Curvature Algorithms for Door to Door Assistance Vehicles. 2014 IEEE Intelligent Vehicles Symposium (IV), Jun 2014, Dearborn, United States. 2014, 〈10.1109/IVS.2014.6856526〉. 〈hal-01081298〉

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