DocumentCode :
3015687
Title :
Biomimetic optic flow sensing applied to a lunar landing scenario
Author :
Valette, Florent ; Ruffier, Franck ; Viollet, Stéphane ; Seidl, Tobias
Author_Institution :
Biorobotics Dept., Univ. of the Mediterranean, Marseille, France
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
2253
Lastpage :
2260
Abstract :
Autonomous landing on unknown extraterrestrial bodies requires fast, noise-resistant motion processing to elicit appropriate steering commands. Flying insects excellently master visual motion sensing techniques to cope with highly parallel data at a low energy cost, using dedicated motion processing circuits. Results obtained in neurophysiological, behavioural, and biorobotic studies on insect flight control were used to safely land a spacecraft on the Moon in a simulated environment. ESA´s Advanced Concepts Team has identified autonomous lunar landing as a relevant situation for testing the potential applications of innovative bio-inspired visual guidance systems to space missions. Biomimetic optic flow-based strategies for controlling automatic landing were tested in a very realistic simulated Moon environment. Visual information was provided using the PANGU software program and used to regulate the optic flow generated during the landing of a two degrees of freedom spacecraft. The results of the simulation showed that a single elementary motion detector coupled to a regulator robustly controlled the autonomous descent and the approach of the simulated moonlander. “Low gate” located approximately 10 m above the ground was reached with acceptable vertical and horizontal speeds of 4 m/s and 5 m/s, respectively. It was also established that optic flow sensing methods can be used successfully to cope with temporary sensor blinding and poor lighting conditions.
Keywords :
aerospace control; aircraft landing guidance; biomimetics; image sequences; Moon environment; autonomous landing; autonomous lunar landing; bioinspired visual guidance systems; biomimetic optic flow sensing; biomimetic optic flow-based strategies; fast noise-resistant motion processing; flying insects; insect flight control; lunar landing scenario; steering commands; unknown extraterrestrial bodies; visual motion sensing; Biomedical optical imaging; Biomimetics; Circuit noise; Costs; Image motion analysis; Insects; Moon; Optical noise; Optical sensors; Space vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1050-4729
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2010.5509364
Filename :
5509364
Link To Document :
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