Research on visual simultaneous localization and mapping technology based on near infrared light
By: Rui Ma , Mengfang Liu , Boliang Li and more
Potential Business Impact:
Helps robots see in the dark or changing 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.
Similar Papers
Navigation Around Unknown Space Objects Using Visible-Thermal Image Fusion
Robotics
Helps spacecraft navigate space debris better.
Taming the Light: Illumination-Invariant Semantic 3DGS-SLAM
CV and Pattern Recognition
Lets robots see clearly in any light.
RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Robotics
Helps robots see and move in busy places.