Acta Geodaetica et Cartographica Sinica ›› 2026, Vol. 55 ›› Issue (3): 465-476.doi: 10.11947/j.AGCS.2026.20250287

• Geodesy and Navigation • Previous Articles     Next Articles

Camera-IMU extrinsic calibration based on prior poses and motion planning

Rui ZHOU1(), Feng ZHU1(), Xiaohong ZHANG2   

  1. 1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
    2.Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
  • Received:2025-07-14 Revised:2026-03-18 Online:2026-04-16 Published:2026-04-16
  • Contact: Feng ZHU E-mail:ruichou@whu.edu.cn;fzhu@whu.edu.cn
  • About author:ZHOU Rui (2000—), male, postgraduate, majors in multi-sensor fusion navigation and positioning. E-mail: ruichou@whu.edu.cn
  • Supported by:
    The National Science Fund for Distinguished Young Scholars of China(42425003);The National Natural Science Foundation of China(42388102; 42374031)

Abstract:

Multi-sensor fusion leverages the complementarity of heterogeneous data to achieve high-precision navigation and positioning, where accurate sensor extrinsic calibration serves as a fundamental prerequisite. To address the limitations of traditional camera-IMU calibration methods—such as strong reliance on calibration targets, sensitivity of calibration performance to data quality, and cumbersome data acquisition—this paper proposes a targetless calibration algorithm based on prior poses and motion planning. The method utilizes GNSS/SINS post-processed smoothed trajectories as prior poses to construct a reprojection error model, and employs a Gauss-Newton optimization framework to estimate the extrinsic parameters with high accuracy. A motion planning strategy is developed to optimize the data acquisition trajectory, using a motion turntable to sufficiently excite the IMU and enhance image overlap, thereby ensuring the repeatability and reliability of the calibration data. Furthermore, a complete initialization and extrinsic refinement pipeline is introduced to accelerate convergence and achieve optimal calibration results. Simulation results demonstrate that the proposed method achieves an extrinsic calibration accuracy better than 0.05° in orientation and 1 cm in translation. Field experiments further validate the feasibility and effectiveness of the proposed calibration approach and workflow.

Key words: integrated navigation, sensor calibration, inertial navigation system, multi-sensor fusion

CLC Number: