Towards Computational Models of Insect Motion Detectors for Robot Vision
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.
Presented atShort paper published in proceedings of TAROS 2018 available at https://doi.org/10.1007/978-3-319-96728-8
Published inTowards Autonomous Robotic Systems: 19th Annual Conference, TAROS 2018. Lecture Notes in Computer Science
- AM (Accepted Manuscript)
CitationFu, 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.
Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met AuthorsPengcheng Liu
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