Towards Computational Models of Insect Motion Detectors for Robot Vision.pdf (673.17 kB)
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Towards Computational Models of Insect Motion Detectors for Robot Vision

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conference contribution
posted on 28.04.2022, 13:13 authored by Qinbing Fu, Cheng Hu, Pengcheng Liu, Shigang Yue

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.

History

Presented at

Short paper published in proceedings of TAROS 2018 available at https://doi.org/10.1007/978-3-319-96728-8

Published in

Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018. Lecture Notes in Computer Science

Publisher

Springer

Version

AM (Accepted Manuscript)

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.

Print ISSN

0302-9743

ISBN

978-3-319-96728-8

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Pengcheng Liu

Copyright Holder

© The Publisher

Language

en