Accuracy in obstacle localization using vision
ALIX ; GLASER
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
ALIX ; GLASER
Résumé / Abstract
The goal of this research is to design perception devices dedicated to driving safety improvement such as: collision warning and avoidance systems, emergency breaking... this device is supposed to be a piece of new driving assistance systems aiming at increasing the safety on road. many safety systems which are emerging nowadays in the vehicles use a 'distance to obstacle' information obtained thanks to telemeters such as radars, laser scanners or lidars, ultrasounds... at least, this kind of systems achieve a great precision in locating objects relative to the sensors, but they are not able to provide their localisation compared to the road or the lane. This is the reason why some systems are involving passive sensors like video integrated inside vehicles. A device founded partially on computer vision allowed to compensate this lack. But the localisation computed by vision needs to be analysed in term of precision. This paper attempts to explore differences in localisation accuracy between systems involving one camera (monocular vision) and systems involving two cameras (stereovision). A complete study of the errors commit on depth reconstruction is shown.