Zhong Cao Driving space for autonomous vehicles (AVs) is a simplified representation of real driving environments that helps facilitate driving decision processes.

Zhong Cao. University of Michigan. Verified email at umich.edu. Autonomous Vehicle Reinforcement Learning. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; String stability for vehicular platoon control: Definitions and analysis methods.

My research interests are self-driving cars and AI safety. I am leading the AV safety project in Mcity, and leading the DARPA Challenge for transferable agents TIAMAT. Welcome to use our developed self-driving planning toolchains, SPIDER. My Research Vision: Next Generation of Autonomous Vehicles, Free from Curse of Rarity (AV 3.0).

email [email protected] Location 1227 GGB Phone (734) 395-0959 Primary Website Google Scholar

Jun 3, 2021 · Zhaohui Chen, Zhong Cao, Qi Huang, Stephen L. Campbell: Decentralized Observer-Based Reliable Control for a Class of Interconnected Markov Jumped Time-Delay System Subject to Actuator Saturation and Failure.

Zhong CAO | Cited by 139 | of Tsinghua University, Beijing (TH) | Read 11 publications | Contact Zhong CAO

Zhong Cao received the B.S. and Ph.D. degrees in automotive engineering from Tsinghua University, Beijing, China, in 2015 and 2020, respectively. He is currently a Postdoctoral Researcher with the School of Vehicle and Mobility, Tsinghua University.

zhong cao. Guangzhou University. No verified email. Machine Learning、Deep Learning、Automated driving、automated guide vehicle. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; AUTONOMOUS VEHICLES, GOOGLE CARS, AND. A Driving. The system can't perform the operation now. Try again later.

Zhong Cao is an assistant research scientist at CEE, University of Michigan. He received his B.S. and Ph.D. in automotive engineering from Tsinghua University in 2015 and 2020, respectively. His research interests include autonomous vehicles, trustworthy AI, self-driving foundation model and continual learning.