Abstract: A method for processing data provided by a lidar. Obtaining, for measurement points of a lidar, data representative of a diffuse intensity and a distance between the measurement point and the lidar; determining an angle of incidence of the lidar at each measurement point; calculating, for each measurement point, reflectivity from the angle of incidence, the distance and the diffuse intensity; identifying spatially adjacent measurement points having a reflectivity within a given range of values to form common reflectivity zones; defining a cost function for at least one common reflectivity zone, the cost function including a first diffuse intensity and a second diffuse intensity, the angle and the distance of the measurement point in question; minimizing the cost function in order to update at least one of the angle, the distance and the reflectivity at the measurement point, for each of the measurement points belonging to a common reflectivity zone.

Abstract: A method for processing a video stream of images captured by a color camera and used by a computer on board a motor vehicle to detect a priority vehicle, the method including: acquiring an image sequence; for each image of the image sequence: performing thresholding-based colorimetric segmentation, making it possible to detect colored luminous zones; tracking each segmented luminous zone; performing colorimetric classification of each segmented luminous zone; performing frequency analysis of each segmented luminous zone, making it possible to determine a flashing nature of the zone; computing an overall confidence index for each image of the image sequence, making it possible to declare a luminous zone as being a flashing light.

Abstract: A method for processing data provided by a lidar. Obtaining, for measurement points of a lidar, data representative of a diffuse intensity and a distance between the measurement point and the lidar; determining an angle of incidence of the lidar at each measurement point; calculating, for each measurement point, reflectivity from the angle of incidence, the distance and the diffuse intensity; identifying spatially adjacent measurement points having a reflectivity within a given range of values to form common reflectivity zones; defining a cost function for at least one common reflectivity zone, the cost function including a first diffuse intensity and a second diffuse intensity, the angle and the distance of the measurement point in question; minimizing the cost function in order to update at least one of the angle, the distance and the reflectivity at the measurement point, for each of the measurement points belonging to a common reflectivity zone.

Abstract: A method for detecting false positives relating to a traffic light based on a video stream of images captured by a camera on board a motor vehicle, the traffic light being configured so as to switch between a plurality of states, each state being characterized by at least one colored zone representative of a signal. The method includes filtering the images, using a predetermined list of filtering criteria relating to the states of the traffic light, based on a predetermined history of the color of the pixels of the colored zone representing a luminous object detected in the video stream of images so as to detect false positives.

Abstract: A method for implementing a LIDAR device in a motor vehicle, including the following steps: determining the number of bright nearby points of the point cloud, a bright nearby point being defined as a point that meets the following two conditions: the distance of separation corresponding to the point is less than a first predetermined distance threshold; and the light intensity corresponding to the point is higher than a first predetermined light intensity threshold; when the number of bright nearby points is higher than a predetermined crosstalk filtering activation threshold, identifying each crosstalk-related point that meets the following two conditions: the distance of separation corresponding to the point is less than a second predetermined distance threshold; and the light intensity corresponding to the point is lower than a second predetermined brightness threshold.

Abstract: A method for detecting false positives relating to a traffic light based on a video stream of images captured by a camera on board a motor vehicle, the traffic light being configured so as to switch between a plurality of states, each state being characterized by at least one colored zone representative of a signal. The method includes filtering the images, using a predetermined list of filtering criteria relating to the states of the traffic light, based on a predetermined history of the color of the pixels of the colored zone representing a luminous object detected in the video stream of images so as to detect false positives.