Title :
Portable and Scalable Vision-Based Vehicular Instrumentation for the Analysis of Driver Intentionality
Author :
Beauchemin, Steven S. ; Bauer, Michael A. ; Kowsari, Taha ; Cho, Ji
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, ON, Canada
Abstract :
Probably the most promising breakthroughs in vehicular safety will emerge from intelligent, Advanced Driving Assistance Systems (i-ADAS). Influential research institutions and large vehicle manufacturers work in lockstep to create advanced, on-board safety systems by means of integrating the functionality of existing systems and developing innovative sensing technologies. In this contribution, we describe a portable and scalable vehicular instrumentation designed for on-road experimentation and hypothesis verification in the context of designing i-ADAS prototypes.
Keywords :
computerised instrumentation; driver information systems; portable instruments; road safety; vector quantisation; vehicles; advanced driving assistance systems; driver intentionality; hypothesis verification; on board safety systems; on road experimentation; vehicular safety; vision based vehicular instrumentation; Context; Instruments; Real time systems; Safety; Sensors; Vehicles; Visualization; Behavioral science; cognition; instrumentation and measurement; optical sensors; vehicle driving;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2011.2164854
