Efficient Decision Making for a Multi-Level Collision Mitigation System

This paper deals with the problem of decision making in the context of forward collision mitigation system design. We present a multi-level collision mitigation approach which allows a flexible tradeoff between potential benefit and the risk associated with driver acceptability and product liability. Due to its practical relevance, we further outline algorithms that allow for an efficient incorporation of both sensor and prediction uncertainty. The control behavior of the system is illustrated on a simulated example of a cutting-in vehicle