Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems

• URL: http://arxiv.org/abs/2501.01557v2
• Date: Wed, 15 Jan 2025 18:29:56 GMT
• Title: Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems
• Authors: Lihao Wang,
• Abstract summary: Click-Calib is a pattern-free approach for offline SVS extrinsic calibration. Unlike other offline calibration approaches, Click-Calib optimize camera poses over a wide range by minimizing reprojection distance errors. Evaluations on our in-house dataset and the public WoodScape dataset demonstrate its superior accuracy and robustness compared to baseline methods.
• Score: 1.9761774213809036
• License:
• Abstract: Surround-View System (SVS) is an essential component in Advanced Driver Assistance System (ADAS) and requires precise calibrations. However, conventional offline extrinsic calibration methods are cumbersome and time-consuming as they rely heavily on physical patterns. Additionally, these methods primarily focus on short-range areas surrounding the vehicle, resulting in lower calibration quality in more distant zones. To address these limitations, we propose Click-Calib, a pattern-free approach for offline SVS extrinsic calibration. Without requiring any special setup, the user only needs to click a few keypoints on the ground in natural scenes. Unlike other offline calibration approaches, Click-Calib optimizes camera poses over a wide range by minimizing reprojection distance errors of keypoints, thereby achieving accurate calibrations at both short and long distances. Furthermore, Click-Calib supports both single-frame and multiple-frame modes, with the latter offering even better results. Evaluations on our in-house dataset and the public WoodScape dataset demonstrate its superior accuracy and robustness compared to baseline methods. Code is available at https://github.com/lwangvaleo/click_calib.

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