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Generalized regressive motion: a visual cue to collision

Chalupka, Krzysztof and Dickinson, Michael and Perona, Pietro (2016) Generalized regressive motion: a visual cue to collision. Bioinspiration and Biomimetics, 11 (4). Art. No. 046008. ISSN 1748-3182.

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Brains and sensory systems evolved to guide motion. Central to this task is controlling the approach to stationary obstacles and detecting moving organisms. Looming has been proposed as the main monocular visual cue for detecting the approach of other animals and avoiding collisions with stationary obstacles. Elegant neural mechanisms for looming detection have been found in the brain of insects and vertebrates. However, looming has not been analyzed in the context of collisions between two moving animals. We propose an alternative strategy, generalized regressive motion (GRM), which is consistent with recently observed behavior in fruit flies. Geometric analysis proves that GRM is a reliable cue to collision among conspecifics, whereas agent-based modeling suggests that GRM is a better cue than looming as a means to detect approach, prevent collisions and maintain mobility.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper Paper
Chalupka, Krzysztof0000-0002-1225-2112
Dickinson, Michael0000-0002-8587-9936
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2016 IOP Publishing. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 17 November 2015; Accepted 7 June 2016; Published 18 July 2016. We thank the anonymous reviewers for excellent pointers to relevant literature. This work was supported by National Science Foundation grants 0914783 and 1216045, NASA Stennis grant NAS7.03001 and ONR MURI grant N00014-10-1-0933.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-10-1-0933
Subject Keywords:locomotion, optic flow, drosophila, low-power vision, looming, agent-based modeling
Issue or Number:4
Record Number:CaltechAUTHORS:20160930-145713133
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Official Citation:Krzysztof Chalupka et al 2016 Bioinspir. Biomim. 11 046008
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:70719
Deposited By: Tony Diaz
Deposited On:30 Sep 2016 22:06
Last Modified:27 Mar 2020 19:17

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