
There is evidence that flying animals such as pigeons, goshawks, and bats use optical flow sensing to enable high-speed flight through forest clutter. This paper discusses the elements of a theory of controlled flight through obstacle fields in which motion control laws are based on optical flow sensing. Performance comparison is made with feedback laws that use distance and bearing measurements, and practical challenges of implementation on an actual robotic air vehicle are described. The related question of fundamental performance limits due to clutter density is addressed.
20 pages, 7 figures
Technology, Motion camouflage, Systems and Control (eess.SY), artificial intelligence, Automation & control systems, Computer science, Electrical Engineering and Systems Science - Systems and Control, Time, 620, Engineering, Dubins vehicle, FOS: Electrical engineering, electronic engineering, information engineering, electrical & electronic, Science & technology, Optical flow sensing, Markovian obstacle field
Technology, Motion camouflage, Systems and Control (eess.SY), artificial intelligence, Automation & control systems, Computer science, Electrical Engineering and Systems Science - Systems and Control, Time, 620, Engineering, Dubins vehicle, FOS: Electrical engineering, electronic engineering, information engineering, electrical & electronic, Science & technology, Optical flow sensing, Markovian obstacle field
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