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Visual Navigation for Mobile Robots: A Survey

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Abstract

Mobile robot vision-based navigation has been the source of countless research contributions, from the domains of both vision and control. Vision is becoming more and more common in applications such as localization, automatic map construction, autonomous navigation, path following, inspection, monitoring or risky situation detection. This survey presents those pieces of work, from the nineties until nowadays, which constitute a wide progress in visual navigation techniques for land, aerial and autonomous underwater vehicles. The paper deals with two major approaches: map-based navigation and mapless navigation. Map-based navigation has been in turn subdivided in metric map-based navigation and topological map-based navigation. Our outline to mapless navigation includes reactive techniques based on qualitative characteristics extraction, appearance-based localization, optical flow, features tracking, plane ground detection/tracking, etc... The recent concept of visual sonar has also been revised.

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  1. Department of Mathematics and Computer Science, University of the Balearic Islands, Palma de Mallorca, Spain

    Francisco Bonin-Font, Alberto Ortiz & Gabriel Oliver

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  1. Francisco Bonin-Font
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  2. Alberto Ortiz
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  3. Gabriel Oliver
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Correspondence to Francisco Bonin-Font.

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This work is partially supported by DPI 2005-09001-C03-02 and FEDER funding.

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Bonin-Font, F., Ortiz, A. & Oliver, G. Visual Navigation for Mobile Robots: A Survey. J Intell Robot Syst 53, 263–296 (2008). https://doi.org/10.1007/s10846-008-9235-4

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