Robust and fast steorovision based obstacles detection for driving safety assistance
LABAYRADE ; AUBERT
Type de document
ARTICLE DE PERIODIQUE
Langue
anglais
Auteur
LABAYRADE ; AUBERT
Résumé / Abstract
This paper deals with a first evaluation of the efficiency and the robustness of the real-time 'v-disparity' algorithm in stereovision for generic road obstacles detection towards various types of obstacles (vehicle, pedestrian, motorbike, cyclist, boxes) and under adverse conditions (day, night, rain, glowing effect, noise and false matches in the disparity map). The theoretical good properties of the 'v-disparity' algorithm accuracy, robustness, computational speed - are experimentally confirmed.
