Abstract
SLAM is a key technology that describes a moving robot that calculates its pose, positioning, and mapping in scenarios where environmental information is unknown. ORB-SLAM uses ORB features to perform real-time tracking, positioning, and mapping tasks, and has good stability. mainly includes three modules: tracking module, local mapping module, and loop closing module. The ORB feature extraction part of the tracking module is time-consuming, In this paper, the feature extraction part of the ORB-SLAM algorithm is optimized and accelerated, and the application research of ORB-SLAM on AR is carried out according to the principle of AR technology.
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Supported by the High-quality and Cutting-edge Disciplines Construction Project for Universities in Beijing (Internet Information, Communication University of China).
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Tang, B., Liu, Z., Cao, S. (2021). AR Application Research Based on ORB-SLAM. In: Song, W., Xu, F. (eds) VR/AR and 3D Displays. ICVRD 2020. Communications in Computer and Information Science, vol 1313. Springer, Singapore. https://doi.org/10.1007/978-981-33-6549-0_8
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DOI: https://doi.org/10.1007/978-981-33-6549-0_8
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