Towards Computational Models of Insect Motion Detectors for Robot Vision
conference contribution
posted on 2022-04-28, 13:13 authored by Qinbing Fu, Cheng Hu, Pengcheng Liu, Shigang YueIn 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/10.1007/978-3-319-96728-8Published in
Towards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018. Lecture Notes in Computer SciencePublisher
SpringerVersion
- 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
0302-9743ISBN
978-3-319-96728-8Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Pengcheng LiuCopyright Holder
- © The Publisher
Language
- en
