Research on visual simultaneous localization and mapping technology based on near infrared light

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.

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Publication Details

Journal
ArXiv.org
Published
2025-03-04
Primary Topic
3D Surveying and Cultural Heritage
Type
article
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article

Research on visual simultaneous localization and mapping technology based on near infrared light

Mengfang Liu, Xinghui Li, Boliang Li, Rui Ma
ArXiv.org
3D Surveying and Cultural Heritage
article

Research on visual simultaneous localization and mapping technology based on near infrared light

Mengfang Liu, Xinghui Li, Boliang Li, Rui Ma
article en

Abstract

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.

ArXiv.org
Openalex Percentile: Top 59%
3D Surveying and Cultural Heritage
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