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arXiv · 2110.09156

Enhancing exploration algorithms for navigation with visual SLAM

Kirill Muravyev·Andrey Bokovoy·Konstantin Yakovlev
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Abstract

Exploration is an important step in autonomous navigation of robotic systems. In this paper we introduce a series of enhancements for exploration algorithms in order to use them with vision-based simultaneous localization and mapping (vSLAM) methods. We evaluate developed approaches in photo-realistic simulator in two modes: with ground-truth depths and neural network reconstructed depth maps as vSLAM input. We evaluate standard metrics in order to estimate exploration coverage.

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Kirill Muravyev, Andrey Bokovoy, Konstantin Yakovlev. 2021-10-18. Enhancing exploration algorithms for navigation with visual SLAM. https://doi.org/10.1007/978-3-030-86855-0_14

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