Constant Angular Velocity Regulation for Visually Guided Terrain Following

Wang, Huatian and Fu, Qinbing and Wang, Hongxin and Peng, Jigen and Yue, Shigang (2019) Constant Angular Velocity Regulation for Visually Guided Terrain Following. In: 15th International Conference on Artificial Intelligence Applications and Innovations, 24-26, May, 2019, Crete, Greece.

Full content URL: https://doi.org/10.1007/978-3-030-19823-7_50

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Constant Angular Velocity Regulation for Visually Guided Terrain Following
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Item Type:Conference or Workshop contribution (Paper)
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Abstract

Insects use visual cues to control their flight behaviours. By estimating the angular velocity of the visual stimuli and regulating it to a constant value, honeybees can perform a terrain following task which keeps the certain height above the undulated ground. For mimicking this behaviour in a bio-plausible computation structure, this paper presents a new angular velocity decoding model based on the honeybee's behavioural experiments. The model consists of three parts, the texture estimation layer for spatial information extraction, the motion detection layer for temporal information extraction and the decoding layer combining information from pervious layers to estimate the angular velocity. Compared to previous methods on this field, the proposed model produces responses largely independent of the spatial frequency and contrast in grating experiments. The angular velocity based control scheme is proposed to implement the model into a bee simulated by the game engine Unity. The perfect terrain following above patterned ground and successfully flying over irregular textured terrain show its potential for micro unmanned aerial vehicles' terrain following.

Keywords:insect vision, flight control, angular velocity, terrain following
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
G Mathematical and Computer Sciences > G740 Computer Vision
G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:35595
Deposited On:26 Apr 2019 08:48

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