Automotive collision avoidance (CA) systems help drivers to avoid collisions through
autonomous interventions by braking or steering. If the decision to intervene is made too …

This paper deals with the problem of decision making in the context of forward collision
mitigation system design. The authors present a multilevel collision mitigation (CM) …

Avoiding collisions is a crucial issue in most transportation systems as well as in many other
applications. The task of a collision avoidance system is to track objects of potential collision …

Collision avoidance (CA) systems are applicable for most transportation systems ranging
from autonomous robots and vehicles to aircraft, cars and ships. A probabilistic framework is …

This paper presents a real-time implementation of a collision avoidance (CA) system that
uses autonomous braking and model predictive control to assist drivers in avoiding …

Driver errors cause a majority of all car accidents. Forward collision avoidance systems aim
at avoiding, or at least mitigating, host vehicle frontal collisions, of which rear-end collisions …

This paper proposes an adaptive collision warning algorithm (CWA) that supports the driver
by issuing early warnings for collision avoidance without noticeably increasing the risk of …

Throughout the last decade a number of advanced system concepts for improving safety,
efficiency, environmental compatibility and comfort of driving have emerged. One of these …

Collision warning/collision avoidance (CW/CA) systems target a major crash type and their
development is a major thrust of the Intelligent Vehicle Initiative. They are a natural …

This paper presents a model-based algorithm that estimates how the driver of a vehicle can
either steer, brake, or accelerate to avoid colliding with an arbitrary object. In this algorithm …