A real time multi camera vision system for UAV collision warning and navigation
A real time vision system with multiple cameras was developed for UAV collision warning and visual navigation for fixed wing small or medium sized aircrafts. The embedded vision system simultaneously acquires images using five cameras, stores, and evaluates the visual data with an FPGA based multi core processor system. The system was designed to fulfill the strict size, power, and weight requirements arising from UAV on board restrictions. The hardware parameters of the system and the performance of the algorithm are compared to the state of the art.
Journal of Real Time Image Processing