Abstract:
A system for detection of objects in an environment surrounding the vehicle including: at least one image capture device arranged for acquiring images representative of a region of observation in the environment surrounding the vehicle; a map of a road network; and a device for positioning the vehicle within the road network. A predetermined number of road segments of the road network downstream of the determined position of the vehicle and the attributes associated therewith constitute an electronic horizon of the vehicle. An electronic processing unit is connected to the image capture device and arranged for selecting an area of the image acquired by the image capture device as a function of the electronic horizon of the vehicle. The selected area being representative of a region of interest of the region of observation. The electronic processing unit is arranged for detecting predetermined elements of interest within the region of interest.
Abstract:
Method for identifying an incoming vehicle on the basis of images acquired by one or more video-cameras mounted on a vehicle, comprising processing the images in order to identify light spots corresponding to the vehicle lamps, including performing a multi-scale processing procedure to extract bright spots areas from the images and maximum values of the bright spots areas. The method includes tracking positive regions corresponding to the bright spots and independently tracking the bright spots themselves. The tracking of the positive regions is preceded by a classification procedure including generating candidate regions to be classified, and training multiple classifiers, depending on an aspect ratio of the candidate region.