LeddarVision: Raw data, fused to perception

Leveraging artificial intelligence and computer vision algorithms to perform raw data sensor fusion, LeddarVision provides superior lane detection, free space detection, 3D bounding boxes and object detection and classification performance to achieve a comprehensive 3D RGBD environmental model and perception performance.

Raw data, fused to perception. This state-of-the-art solution enables the detection of the various objects in the scene, including vehicles, pedestrians, bicycles, drivable road, obstacles, signs, lanes, lane lines and more. LeddarVision also detects very small obstacles on the road with better detection rates and less false alarms than legacy “object fusion” solutions. Unclassified obstacles…

LeddarVision software platform combines AI and computer vision technologies as well as deep neural networks with computational efficiency to scale up the performance of ADAS/AD sensors and hardware that are essential for planning the driving path.