Real-time planning for adjacent consecutive intersections

Abstract : Real-time path planning constitutes one of the hot topics when developing automated driving. Different path planning techniques have been studied in both the robotics and automated vehicles fields trying to improve the trajectory generation and its tracking. In this paper, a novel local path planning algorithm combining both off-line and real-time generation for automated vehicles in urban environments is presented. It takes advantage of an off-line planning strategy to achieve a smooth and continuous trajectory generation with adjacent consecutive intersections. Therefore, this approach allows a smooth and continuous trajectory by means of planning consecutive curves concurrently, i.e., it will plan the upcoming curve and the following one in advance, taking into account the constraints of the infrastructure and the physical limitations of the vehicle. The real-time planning algorithm has been tested in simulation based on the INRIA-RITS vehicles architecture. The results obtained show an improvement in the smoothness, continuity and comfort of the generated paths.
Type de document :
Communication dans un congrès
19th International IEEE Conference on Intelligent Transportation Systems - ITSC 2016, Nov 2016, Rio de Janeiro, Brazil. Intelligent Transportation Systems Conference 2016
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01356706
Contributeur : Fernando José Garrido Carpio <>
Soumis le : lundi 19 septembre 2016 - 09:49:25
Dernière modification le : jeudi 2 août 2018 - 12:02:07

Fichier

ITSC16_0125_FI.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01356706, version 2

Collections

Citation

Fernando Garrido, David Gonzalez Bautista, Vicente Milanés, Joshué Pérez, Fawzi Nashashibi. Real-time planning for adjacent consecutive intersections. 19th International IEEE Conference on Intelligent Transportation Systems - ITSC 2016, Nov 2016, Rio de Janeiro, Brazil. Intelligent Transportation Systems Conference 2016. 〈hal-01356706v2〉

Partager

Métriques

Consultations de la notice

329

Téléchargements de fichiers

152