Abstract
Adaptive Cruise Control (ACC) is a relatively new system
designed to assist automobile drivers in maintaining a safe following
distance. This paper proposes and validates a vision-based ACC system
which uses a single camera to obtain the clearance distance between the
preceding vehicle and the ACC vehicle. Pattern matching, with the aid
of lane detection, is used for vehicle detection. The vehicle and range
detection algorithms are validated using real-world data, and then the
resulting system performance is shown to be sufficient using a simulation
of a basic vehicle model.