On Worst Case Performance of Collision Avoidance Systems
Paper in proceedings, 2010

Automotive Collision Avoidance and Mitigation (CA/CM) systems help drivers to avoid collisions through autonomous interventions by braking or steering. If the decision to intervene is made too early, the intervention can become a nuisance to the driver and if the decision is made too late, the safety benefits of the intervention will be reduced. Decision timing is thus crucial for the successful operation of a CA/CM system. The decision to intervene is commonly taken when a threat function reaches a specific threshold. The dimensionality of the input state space for the threat function is in general very large making exhaustive evaluation in real vehicles expensive and time consuming. This paper presents a method for efficient estimation of a lower bound on CA/CM system performance, i.e. the worst case performance. The method is applied on an example system for a set of longitudinal single object escape scenarios. Results show significant variation in worst case decision timing across scenarios.

Collision mitigation

Active safety

Collision avoidance

Automotive

Performance evaluation

Decision making

Author

Jonas Nilsson

Volvo Cars

Chalmers, Signals and Systems, Systems and control, Mechatronics

Anders Ödblom

Chalmers, Signals and Systems, Systems and control, Mechatronics

IEEE Intelligent Vehicles Symposium, Proceedings; 2010 IEEE Intelligent Vehicles Symposium, IV 2010; La Jolla, CA; 21 June 2010 through 24 June 2010

1084-1091

Areas of Advance

Transport

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/IVS.2010.5548003

ISBN

978-142447866-8

More information

Latest update

7/22/2019