YOLOv3

Vision sensor data (RGB and Depth) collected from a semi-humanoid robot ‘Pepper’ provided by IATSL laboratory, are used to perform 3D human detection and tracking within a household setup enabling better assistance to old or sick-adults in home-care.

This assignment focuses on 2D object detection and instance segmentation using the depth data. Motivated by the KITTI vision challenge for object detection and tracking, disparity map between the corresponding images from left (p2) and right (p3) camera are provided.