2D Laser Based Road Obstacle Classification for Road Safety Improvement - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

2D Laser Based Road Obstacle Classification for Road Safety Improvement

Résumé

Vehicle and pedestrian collisions often result in fatality to the vulnerable road users (VRU), indicating a strong need of technologies to protect such persons. Laser sensors have been extensively used for moving obstacles detection and tracking. Laser impacts are produced by reflection on these obstacles which suggests that more information is available for their classification. This paper proposes a new system to address this issue. We introduce the design of our system that is divided in three parts : definition of geometric features describing road obstacles, multiclass object classification from an adaboost trained classifier and track class assignment by integrating consecutive classification decision values. During this study, we show how specific features adapted to urban obstacles enhance the state of the art method for person detection in 2D laser data. Hence, in this paper, we evaluate usefulness of each feature and list the best ones. Moreover, we investigate the influence of laser height for each class showing that classification performance depends on the sensor position. Finally, we tested our system on some laser sequences and showed that it can estimate the class of some road obstacles around the vehicle with an accuracy of 87.4%.
Fichier principal
Vignette du fichier
camera_ready_ARSO2015.pdf (658.66 Ko) Télécharger le fichier
classification_camera_ready.mp4 (3.86 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01158396 , version 1 (01-06-2015)

Identifiants

  • HAL Id : hal-01158396 , version 1

Citer

Pierre Merdrignac, Evangeline Pollard, Fawzi Nashashibi. 2D Laser Based Road Obstacle Classification for Road Safety Improvement. 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO 2015), Jul 2015, Lyon, France. ⟨hal-01158396⟩

Collections

INRIA INRIA2
256 Consultations
607 Téléchargements

Partager

Gmail Facebook X LinkedIn More