Date of Award
Master of Science
Steven S. Beauchemin
According to the WHO (World Health Organization), world-wide deaths from injuries are projected to rise from 5.1 million in 1990 to 8.4 million in 2020, with traffic-related incidents as the major cause for this increase. Intelligent, Advanced Driving Assis tance Systems (i-ADAS) provide a number of solutions to these safety challenges. We developed a scalable in-vehicle mobile i-ADAS research platform for the purpose of traffic context analysis and behavioral prediction designed for understanding fun damental issues in intelligent vehicles. We outline our approach and describe the in-vehicle instrumentation.
Cho, Jihyun, "Portable and Scalable In-vehicle Laboratory Instrumentation for the Design of i-ADAS" (2011). Digitized Theses. 3472.