3D Object Detection and Tracking using YOLO4 in Autonomous Vehicles

The video represents state-of-the-art 3D object detection, Bird's eye view localisation, Tracking, Trajectory estimation, and Speed detection using a basic surveillance camera and YOLOv4 Deep Neural Network framework.

This video is part of our research conducted at the University of Leeds, Institute for Transport Studies, UK

by Mahdi Rezaei and in joint collaboration with Mohsen Azarami and Farzam Mohammadpoor.

The preprint of this research is available at https://arxiv.org/abs/2109.09165

Видео 3D Object Detection and Tracking using YOLO4 in Autonomous Vehicles канала M Rezaei