Paper
31 August 2018 An overview of SLAM
Feng Yang, Bo Jin
Author Affiliations +
Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 108350Z (2018) https://doi.org/10.1117/12.2504048
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China
Abstract
Simultaneous localization and mapping (SLAM) is a hot issue in the field of unmanned system. It is an essential task for the development of autonomous robots.The research achievements and historical development of SLAM are reviewed in this paper. And the key technologies such as detection and matching of feature points, selection and matching of keyframes, loop closure detection are summarized. Furthermore, the advantages and disadvantages of current SLAM methods are discussed. Finally, the research hotspots and trends of advanced SLAM are summarized and prospected.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feng Yang and Bo Jin "An overview of SLAM", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 108350Z (31 August 2018); https://doi.org/10.1117/12.2504048
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Cameras

Detection and tracking algorithms

Optimization (mathematics)

Feature extraction

Information fusion

Optical filters

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