Abstract
Research findings on Robotics - Robotics and Automation are discussed in a new report. According to news reporting originating from Shenzhen, People's Republic of China, by NewsRx correspondents, research stated, “The fusion of 3D LiDAR and 2D camera data has gained popularity in the field of robotics in recent years. Extrinsic calibration is a critical issue in sensor data fusion.” Financial support for this research came from SUSTech startup Fund. Our news editors obtained a quote from the research from the Southern University of Science and Technology (SUSTech), “Poor calibration can lead to corrupt data and system failure. This letter introduces a method based on photometric consistency for detecting and recalibrating camera LiDAR miscalibrations in arbitrary environments, online and without the need for calibration targets or manual work. We make the assumption that, with correct extrinsic parameters and accurate LiDAR pose estimation, the projections of each LiDAR point onto different camera images will have similar photometric values. By utilizing covisibility information, an error term based on the aforementioned photometric consistency assumption is proposed, enabling the detection and correction of miscalibration.”
NETL
NSTL
IEEE