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Visual servoing for mobile robots navigation with collision avoidance and field-of-view constraints

Abstract : This thesis is concerned with the problem of vision-based navigation for mobile robots in indoor environments. Many works have been carried out to solve the navigation using a visual path, namely appearance-based navigation. However, using this scheme, the robot motion is limited to the trained visual path. The potential collision during the navigation process can make robot deviate from the current visual path, in which the visual landmarks can be lost in the current field of view. To the best of our knowledge, seldom works consider collision avoidance and landmark loss in the framework of appearance-based navigation. We outline a mobile robot navigation framework in order to enhance the capability of appearance-based method, especially in case of collision avoidance and field-of-view constraints. Our framework introduces several technical contributions. First of all, the motion constraints are considered into the visual landmark detection to improve the detection performance. Next then, we model the obstacle boundary using B-Spline. The B-Spline representation has no accidented regions and can generate a smooth motion for the collision avoidance task. Additionally, we propose a vision-based control strategy, which can deal with the complete target loss. Finally, we use spherical image to handle the case of ambiguity and infinity projections due to perspective projection. The real experiments demonstrate the feasibility and the effectiveness of our framework and methods.
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Submitted on : Friday, December 9, 2016 - 11:19:24 PM
Last modification on : Saturday, May 1, 2021 - 3:38:52 AM
Long-term archiving on: : Tuesday, March 28, 2017 - 12:22:06 AM


  • HAL Id : tel-01413584, version 1


Wenhao Fu. Visual servoing for mobile robots navigation with collision avoidance and field-of-view constraints. Automatic. Université Evry Val d'Essonne, 2014. English. ⟨tel-01413584⟩



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