Abstract
Various types of sensors are required to drive autonomous vehicles in order to perceive surroundings on behalf of human beings. Among the various sensors for obtaining the distance information of obstacles, the light detection and ranging (lidar) sensor is chosen as a representative. The quality and amount of information that can be obtained depends on the number and location of lidar sensors. It is necessary to reduce the measurement limit by distributing many lidar sensors. This paper focuses on processing and reconstructing more useful information using dual low-channel 3D lidar sensors. We propose a calibration method for two 3D lidar sensors. We verify the performance and usefulness of the proposed method using two 16-channel 3D lidar sensors.
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