SYNOPSIS
This seminar presents a research project on the design of standard crash scenarios for vehicle to pedestrian and bicyclist crashes and development of testing procedures and performance evaluation methods for vehicle automatic emergency braking (AEB) systems by a data-driven systematic approach. We conducted a large-scale naturalistic driving data (NDD) collection with more than 110 cars and drivers recruited in the greater Indianapolis area that performed their normal daily driving tasks for a 12-month period. More than 90 TB of video, GPS, and other driving related data were collected and pre-processed. By NDD analytics, we were able to model the vehicle to pedestrian/bicyclist interaction behavior and encounters. Combining the NDD analytics results with crash databases in the U.S., we developed a set of standard crash scenarios, test protocols, and test pedestrian/bicyclist mannequins for vehicle AEB systems which are important automated driving features. The proposed crash scenarios and testing methodology were successfully demonstrated with several production vehicles equipped with AEB systems in a test track environment.
ABOUT THE SPEAKER
Dr.Yaobin Chen is a Chancellor’s Professor of electrical and computer engineering and Director of the Transportation and Autonomous Systems Institute (TASI) in the Purdue School of Engineering and Technology, IUPUI, Indianapolis where he joined in 1990. He received his BS degree from Nanjing Institute of Technology, China in 1982, MS and Ph.D. degrees from Rensselaer Polytechnic Institute, Troy, New York, in 1986 and 1988 respectively, all in electrical engineering. Dr. Chen’s areas of expertise include autonomous and connected vehicles, intelligent transportation and safety systems, EV and HEV, and advanced controls and robotics. He has published 180 technical papers in refereed journals and conference proceedings. He is a co-inventor of eight U.S. patents. He was a recipient of the National Science Foundation Research Initiation Award in 1991.