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dc.contributor.authorFu, Qinbing
dc.contributor.authorHu, Cheng
dc.contributor.authorLiu, Pengcheng
dc.contributor.authorYue, Shigang
dc.date.accessioned2019-01-24T15:27:12Z
dc.date.available2019-01-24T15:27:12Z
dc.date.issued2018
dc.identifier.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.en_US
dc.identifier.isbn978-3-319-96727-1
dc.identifier.isbn978-3-319-96728-8
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10369/10229
dc.descriptionShort paper published in proceedings of TAROS 2018 available at https://doi.org/10.1007/978-3-319-96728-8en_US
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.subjectbio-inspireden_US
dc.subjectinsectsen_US
dc.subjectmotion detectorsen_US
dc.subjectbio-roboticsen_US
dc.subjectvisual systemsen_US
dc.subjectrobot visionen_US
dc.titleTowards Computational Models of Insect Motion Detectors for Robot Visionen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-96728-8
dcterms.dateAccepted2018
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-01-24


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