vijayscodehub/ml_pedestrian_detection_and_tracking

This is a KITTI camera–LiDAR pedestrian perception research pipeline. Its principal workflow loads a frame and calibration, detects and tracks pedestrians in RGB, projects LiDAR points into camera coordinates, associates robust depth and 3D position with each box, then renders results and writes tracking/fusion artifacts for evaluation. A separate early-fusion branch rasterizes LiDAR depth images and prepares YOLO datasets; the README also documents detector training and comparison of RGB and depth inputs. Edges reflect the shown runners and explicit README capabilities; unsampled training internals are not inferred.