Visual odometry driven online calibration for monocular LiDAR-camera systems

Abstract

Recently LiDAR-camera systems have rapidly emerged in many applications. The integration of laser range-finding technologies into existing vision systems enables a more comprehensive understanding of 3D structure of the environment. The advantage, however, relies on a good geometrical calibration between the LiDAR and the image sensors. In this paper we consider visual odometry, a discipline in computer vision and robotics, in the context of recently emerging online sensory calibration studies. By embedding the online calibration problem into a LiDAR-monocular visual odometry technique, the temporal change of extrinsic parameters can be tracked and compensated effectively.