A case study towards the deep learning autonomous driving AIs

Description

It is an emerging research question in Machine Vision and Artificial Intelligence: how to enable a vehicle to drive safely by itself? Contemporary Autonomous Driving applications may outperform human drivers in certain tasks, yet they are far from perfect especially when complex attentional and action selections are required for safety. Here the project aims to perform literature review
on the state-of-the-art AI (Deep Learning, LLM, etc.) developments in autonomous driving vehicles, and further conduct a case study to test novel algorithms. Moreover, the results will help us un
derstanding the learning and developing process in autonomous driving vehicles, which will benefit the research in School of Robotics.

Period	1 Jun 2024 → 31 Aug 2024
Degree of Recognition	Local