Research on visual simultaneous localization and mapping technology based on near infrared light
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915181606469632 |
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| author | Ma, Rui Liu, Mengfang Li, Boliang Li, Xinghui |
| author_facet | Ma, Rui Liu, Mengfang Li, Boliang Li, Xinghui |
| contents | In view of the problems that visual simultaneous localization and mapping (VSLAM) are susceptible to environmental light interference and luminosity inconsistency, the visual simultaneous localization and mapping technology based on near infrared perception (NIR-VSLAM) is proposed. In order to avoid ambient light interference, the near infrared light is innovatively selected as the light source. The luminosity parameter estimation of error energy function, halo factor and exposure time and the light source irradiance correction method are proposed in this paper, which greatly improves the positioning accuracy of Direct Sparse Odometry (DSO). The feasibility of the proposed method in four large scenes is verified, which provides the reference for visual positioning in automatic driving and mobile robot. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_02584 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Research on visual simultaneous localization and mapping technology based on near infrared light Ma, Rui Liu, Mengfang Li, Boliang Li, Xinghui Robotics In view of the problems that visual simultaneous localization and mapping (VSLAM) are susceptible to environmental light interference and luminosity inconsistency, the visual simultaneous localization and mapping technology based on near infrared perception (NIR-VSLAM) is proposed. In order to avoid ambient light interference, the near infrared light is innovatively selected as the light source. The luminosity parameter estimation of error energy function, halo factor and exposure time and the light source irradiance correction method are proposed in this paper, which greatly improves the positioning accuracy of Direct Sparse Odometry (DSO). The feasibility of the proposed method in four large scenes is verified, which provides the reference for visual positioning in automatic driving and mobile robot. |
| title | Research on visual simultaneous localization and mapping technology based on near infrared light |
| topic | Robotics |
| url | https://arxiv.org/abs/2503.02584 |