DL for 6D Pose Estimation for Self Driving Cars — Adel Valiullin

ML Training 2019 Adel Valiullin tells about his participation in the competition Kaggle Peking University/Baidu - Autonomous Driving. He won a silver medal. In this video, you will find out: - Overview of the Autonomous Vehicles problem - Dataset description and exploration: images with 6D pose information, taken from the roof of a car, 3D models of cars and input data analysis - Problems with mAP metric and dataset in this challenge - The implementation of CenterNet Neural Network for 6D car pose estimation - Score boosters and other better and high scored approaches