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Towards Computational Models of Insect Motion Detectors for Robot Vision

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Author
Fu, Qinbing
Hu, Cheng
Liu, Pengcheng
Yue, Shigang
Date
2018
Acceptance date
2018
Type
Conference paper
Publisher
Springer
ISSN
0302-9743
Metadata
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Abstract
In this essay, we provide a brief survey of computational models of insect motion detectors, and bio-robotic solutions to build fast and reliable motion-sensing systems for robot vision. Vision is an important sensing modality for autonomous robots, since it can extract abundant useful features from visually cluttered and dynamic environments. Fast development of computer vision technology facilitates the modeling of dynamic vision systems for mobile robots.
Journal/conference proceeding
Lecture Notes in Computer Science;
Citation
Fu, Qinbing and Hu, Cheng and Liu, Pengcheng and Yue, Shigang (2018) Towards computational models of insect motion detectors for robot vision. In: M. Giuliani et al. (Eds.): TAROS 2018, LNAI. Springer International Publishing AG, part of Springer Nature 2018, pp. 465-467.
URI
http://hdl.handle.net/10369/10229
DOI
https://doi.org/10.1007/978-3-319-96728-8
Description
Short paper published in proceedings of TAROS 2018 available at https://doi.org/10.1007/978-3-319-96728-8
Rights
http://www.rioxx.net/licenses/all-rights-reserved
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  • School of Technologies Research [166]

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