Paper
15 November 1999 Neuromorphic optical flow sensing for Nap-of-the-Earth flight
Thomas Netter, Nicolas H. Franceschini
Author Affiliations +
Proceedings Volume 3838, Mobile Robots XIV; (1999) https://doi.org/10.1117/12.369255
Event: Photonics East '99, 1999, Boston, MA, United States
Abstract
Nap-of-the-Earth (NOE) flight and the development of advanced Unmanned Air Vehicles (UAV) require further integration of environmental sensors and onboard processing equipment. Flying insects feature a panoramic eye which relies on Optical Flow for guidance and obstacle avoidance. Furthermore, flies bear remarkable neural fusing of visual, inertial, and aerodynamic senses. We describe the development of a miniature electrically-powered UAV featuring a neuromorphic electronic eye based on biological motion detection. The system is tethered within the laboratory on a custom-built whirling-arm test bed. The 20-photoreceptor onboard eye signals are processed by 19 custom Elementary Motion Detection (EMD) circuits which are derived from those of the fly. Visual, inertial, and tachymeter signals from the aircraft are scanned by a PC data acquisition board. Flight commands are output via the parallel port to a microcontroller interfacing with a standard radio-control model transmitter. Vision-based flight path trajectories and landings are simulated. This UAV project is at the intersection of neurobiology, robotics, and aerospace. Its purpose is to test biologically-inspired sensory-motor concepts within a challenging environment and to provide principles and technology to assist Micro Air Vehicles (MAV) indoors operations.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Netter and Nicolas H. Franceschini "Neuromorphic optical flow sensing for Nap-of-the-Earth flight", Proc. SPIE 3838, Mobile Robots XIV, (15 November 1999); https://doi.org/10.1117/12.369255
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Optical flow

Visualization

Eye

Sensors

Aerodynamics

Analog electronics

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