@article{ref1,
title="Collision Avoidance for Vehicle-Following Systems",
journal="IEEE transactions on intelligent transportation systems",
year="2007",
author="Gehrig, SK and Stein, FJ",
volume="8",
number="2",
pages="233-244",
abstract="This paper presents a dynamic approach to standard vehicle-following collision avoidance components. Problems in vehicle-following approaches typically occur when obstacles such non-automated vehicles move between the ego vehicle and the leader vehicle. The paper presented here limits itself to lateral control for collision avoidance, as such an automation would be required for obstructed intelligent vehicles during following. For standard vehicle following, the entirety of vehicle to vehicle communication is through computer vision, which is what is hindered in dynamic situations. Dynamic path planning through longitudinally and laterally detecting actuators can be used to restore standard following. The authors have imported a concept from robotics in determining how to best implement this system. It involves an approach in which The path of the leader vehicle is treated as an elastic band which is subjected to obstacles and their repelling forces. Simulation results demonstrate the effectiveness of this approach.<p />",
language="",
issn="1524-9050",
doi="",
url="http://dx.doi.org/"
}