Abstract
An intelligent vision system for collision avoidance for a robotic vehicle was designed and implemented. To respond selectively to approaching objects on the collision course, the sensor employed an algorithm inspired by a visual nervous system in the locust, which can avoid a collision robustly by use of visual information. We implemented the model with a compact hardware system comprised of a silicon retina and FPGA circuits. The response of the system was examined by loading it on a robotic vehicle.
