CalibDB is a diverse and challenging multi-modal calibration dataset and benchmark.
The dataset contains various discrete and continous traces from cameras and LiDARs, which are placed in different poses with dynamic extrinsics via robotic arms manipulation.
The benchmark evaluates the state-of-the-art multi-modal calibration methods, which demonstrates the research gaps and the challenges existing methods face.
The proposed pipeline and dataset pave the way for the community to develop more accurate, robust, domain-transferable multimodal calibration methods.
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