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Extrinsic Sensor Calibration Methods for Mobile Robots: A Short Review

机译:移动机器人的外在传感器校准方法:审查简短

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Data acquisition is a critical task for localisation and perception of mobile robots. It is necessary to compute the relative pose between onboard sensors to process the data in a common frame. Thus, extrinsic calibration computes the sensor's relative pose improving data consistency between them. This paper performs a literature review on extrinsic sensor calibration methods prioritising the most recent ones. The sensors types considered were laser scanners, cameras and IMUs. It was found methods for robot-laser, laser-laser, laser-camera, robot-camera, camera-camera, camera-IMU, IMU-IMU and laser-IMU calibration. The analysed methods allow the full calibration of a sensory system composed of lasers, cameras and IMUs.
机译:数据采集​​是移动机器人本地化和感知的关键任务。有必要计算板载传感器之间的相对姿势来处理公共帧中的数据。因此,外部校准计算了传感器的相对姿势,提高了它们之间的数据一致性。本文对实质传感器校准方法进行了文献综述,优先考虑最新排序。所考虑的传感器类型是激光扫描仪,相机和IMU。已发现机器人激光,激光激光,激光摄像头,机器人相机,相机,Camera-IMU,IMU-IMU和激光-IMU校准的方法。分析的方法允许完全校准由激光器,摄像机和IMU组成的感官系统。

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