Automated emergency maneuvering systems can avoid or reduce the severity of collisions by taking control of a vehicle away from the driver during high-risk situations. To do so, these systems must be capable of making certain decisions: there is the choice of when to interfere in the driver's control, which is made challenging in the presence of dynamic obstacles and uncertain information (such as that provided by imperfect sensors), and there is the choice of how to interfere, since, in general, controls that mitigate collisions will not be unique. We address both of these questions with a probabilistic decision threshold framework that overrides the driver's control only when safety drops beneath a problem-specific threshold, and minimizes the magnitude of the interference. We demonstrate its application to two scenarios: collision-imminent braking for obstacles traveling along the vehicle's path, and braking and accelerating for unprotected lane crossings.
Minimizing driver interference under a probablistic safety constraint in emergency collision avoidance systems
01.09.2012
522241 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Collision avoidance, driver support and safety intervention systems
Tema Archiv | 1996
|Collision Avoidance, Driver Support and Safety Intervention Systems
British Library Conference Proceedings | 1996
|Driver behaviour & perceived safety in collision avoidance situations
Tema Archiv | 2011
|DQN-Based Automatic Emergency Collision Avoidance Control Considering Driver Style
Springer Verlag | 2025
|