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Visual SLAM: What are the Current Trends and What to Expect?. (arXiv:2210.10491v1 [cs.CV])
Oct. 20, 2022, 1:15 a.m. | Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez, Holger Voos
cs.CV updates on arXiv.org arxiv.org
Vision-based sensors have shown significant performance, accuracy, and
efficiency gain in Simultaneous Localization and Mapping (SLAM) systems in
recent years. In this regard, Visual Simultaneous Localization and Mapping
(VSLAM) methods refer to the SLAM approaches that employ cameras for pose
estimation and map generation. We can see many research works that demonstrated
VSLAMs can outperform traditional methods, which rely only on a particular
sensor, such as a Lidar, even with lower costs. VSLAM approaches utilize
different camera types (e.g., monocular, …
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