Research on visual SLAM system based on near-infrared perception

Mengfang Liu; Boliang Li; Xiang Qian; Rui Ma; Peiyuang Zhu; Chengwei Liao; Haoyang Tian; Xiu Li; Xiaohao Wang; Xinghui Li

doi:10.1117/12.2689364

27 November 2023 Research on visual SLAM system based on near-infrared perception

Mengfang Liu, Boliang Li, Xiang Qian, Rui Ma, Peiyuang Zhu, Chengwei Liao, Haoyang Tian, Xiu Li, Xiaohao Wang, Xinghui Li

Author Affiliations +

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 1276708 (2023) https://doi.org/10.1117/12.2689364
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

In the context of operating in low-light conditions where sufficient visual information is lacking, visual SLAM (Simultaneous Localization and Mapping) becomes a considerably challenging task. To address this issue, we propose a visual SLAM method based on Near-Infrared (NIR) illumination, which operates effectively in complete darkness while being visually friendly to the human eye. This approach employs NIR imagery to estimate the camera's motion and pose, achieving simultaneous localization and mapping. Through experiments and quantitative/qualitative analysis, the effectiveness of this method is demonstrated, particularly in low-light environments. Research findings also indicate that the performance of the NIR-based SLAM system is on par with its visible-light counterpart. Moreover, in indoor settings, the NIR-based SLAM system outperforms the visible-light SLAM system, suggesting that NIR-based SLAM could be a potential solution for robust camera pose estimation.

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Mengfang Liu, Boliang Li, Xiang Qian, Rui Ma, Peiyuang Zhu, Chengwei Liao, Haoyang Tian, Xiu Li, Xiaohao Wang, and Xinghui Li "Research on visual SLAM system based on near-infrared perception", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 1276708 (27 November 2023); https://doi.org/10.1117/12.2689364

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KEYWORDS

Visualization

Cameras

Visible radiation

Pose estimation

Light sources and illumination

Information visualization

Motion measurement

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