Pinaki Laskar on LinkedIn: #AutonomousDriving #autonomousvehicles #machinelearning

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How Important is Data, for #AutonomousDriving Technology? The data output of intelligent driving sensors is generally divided into the following three types, The first is obstacle detection, obstacle tracking, and multi-sensor fusion. In addition to the basic obstacle labeling capabilities of monocular and binocular cameras, fisheye cameras, and surround-view cameras, lidar point cloud data with different beams ranging from 4 lines to 128 lines can be annotated. In terms of multi-sensor detection (including lidar, camera fusion, and sensors such as millimeter-wave radar), multi-sensor annotation is feasible as well. The second type is the environment perception outside the car and lane information.