Addressing challenges in real-time perception processing for automated driving

Abstract

Automated driving vehicles are considered as the future of the automotive industry. While the industry is investing heavily in this area, many technical challenges remain to be addressed and require fundamental research. One key challenge is the real-time processing of data for perception. In this talk, we will discuss the major issues in implementing real-time perception systems and some research to address them.

Biography

Dr. Shige Wang is a Staff Researcher at GM Global R&D. He has led several projects on software architecture and system scheduling for multicore controllers for powertrain and active safety. His current research is on architecture and parallel processing for advanced perception systems for automated driving. He received the PhD degree from Michigan CSE in 2004.