Toward semantic loop closure in simultaneous localization and mapping systems

Che-Yu Yang; Yu-Cheng Zhang; Yu-Hsiu Chen; Chih-Wei Huang

doi:10.1117/12.2320035

17 September 2018 Toward semantic loop closure in simultaneous localization and mapping systems

Che-Yu Yang, Yu-Cheng Zhang, Yu-Hsiu Chen, Chih-Wei Huang

Proceedings Volume 10745, Current Developments in Lens Design and Optical Engineering XIX; 107450I (2018) https://doi.org/10.1117/12.2320035
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Simultaneous localization and mapping (SLAM) is a problem in robotics aiming to model the environment and estimate the pose of a device within it at the same time. Developed solution is the core technology for emerging applications such as self-driving cars, automated guided vehicles (AGV), and domestic robots. Inevitably, the performance of SLAM algorithms relies highly on input signals from optical equipment ranging from cameras, laser rangefinders, and LIDAR. Loop closure, the function detecting visited locations to correct accumulated errors, is a crucial element in a SLAM system. Conventionally, geometric features are used to interpret the scenes for similarity estimation. In scenarios with nearly identical scenes existing, the feature-based approaches remain ineffective. Semantic objects and the comparison of multi-frame, therefore, can be integrated into the process and present a new level of environmental information. In this article, we first provide an overview of the SLAM system. Then the semantic object-assisted and the time and spatial sequence comparison approach are proposed to improve the similarity measurement in the SLAM process. By integrating recognized objects like landmarks and signs, we can classify similar scenes better and significantly improve building-scale indoor mapping results. The performance of systems adopting various optical technologies is also compared in this work.

Conference Presentation

Citation Download Citation

Che-Yu Yang, Yu-Cheng Zhang, Yu-Hsiu Chen, and Chih-Wei Huang "Toward semantic loop closure in simultaneous localization and mapping systems", Proc. SPIE 10745, Current Developments in Lens Design and Optical Engineering XIX, 107450I (17 September 2018); https://doi.org/10.1117/12.2320035

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