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• W2950290832 abstract "Many robotics and mapping systems contain multiple sensors to perceive the environment. Extrinsic parameter calibration, the identification of the position and rotation transform between the frames of the different sensors, is critical to fuse data from different sensors. When obtaining multiple camera to camera, lidar to camera and lidar to lidar calibration results, inconsistencies are likely. We propose a graph-based method to refine the relative poses of the different sensors. We demonstrate our approach using our mapping robot platform, which features twelve sensors that are to be calibrated. The experimental results confirm that the proposed algorithm yields great performance." @default.
• W2950290832 created "2019-06-27" @default.
• W2950290832 creator A5010212263 @default.
• W2950290832 creator A5051350739 @default.
• W2950290832 date "2019-05-27" @default.
• W2950290832 modified "2023-10-18" @default.
• W2950290832 title "Heterogeneous Multi-sensor Calibration based on Graph Optimization" @default.
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• W2950290832 doi "https://doi.org/10.48550/arxiv.1905.11167" @default.
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