April 30, 2024, 4:47 a.m. | Zhiwei Huang, Yikang Zhang, Qijun Chen, Rui Fan

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.18083v1 Announce Type: cross
Abstract: LiDAR-camera extrinsic calibration (LCEC) is crucial for data fusion in intelligent vehicles. Offline, target-based approaches have long been the preferred choice in this field. However, they often demonstrate poor adaptability to real-world environments. This is largely because extrinsic parameters may change significantly due to moderate shocks or during extended operations in environments with vibrations. In contrast, online, target-free approaches provide greater adaptability yet typically lack robustness, primarily due to the challenges in cross-modal feature matching. …

abstract adaptability arxiv change cs.ai cs.cv cs.ro data environments free fusion however intelligent lidar modal offline parameters type vehicles via world

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