The crash modes that occur each day on streets and highways have not changed dramatically over the past 50 years. The need to better understand those crash modes and their relation to rapidly emerging, tailorable restraint systems has intensified recently. The algorithms necessary for predicting a deployment event are based on an approach of coupling the occupant kinematics in a crash to the sensing technology that will activate the restraint system. This paper describes methods of computer modeling, occupant sensing and vehicle crash dynamics to define a crash sensing system that reacts to a complex set of input conditions to invoke an effective restraint response.
Anson Foo, Stephen A. Ridella
TRW Automotive Electronics
Convergence 2000 International Congress on Transportation Electronics
Occupant Detection and Sensing for Smarter Air Bag Systems-PT-107, Object Detection, Collision Warning and Avoidance Systems-PT-70