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Camera Calibration Method Uses Drone GPS Data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel method for calibrating stationary cameras using drone trajectories from GPS data. The approach addresses challenges such as inaccurate GPS altitude, asynchronous GPS and camera signals with an unknown time offset, and the need for accurate interpolation of discrete trajectory points. A specialized maximum likelihood estimator using the Iterated Least Squares algorithm is proposed to estimate altitude bias, time offset, and camera orientation biases simultaneously. Simulation tests confirm that the estimation results meet the Cramér-Rao Lower Bound, and the paper recommends specific drone trajectories to achieve optimal calibration accuracy. AI

RANK_REASON Academic paper detailing a new method for camera calibration. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.CV →

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Camera Calibration Method Uses Drone GPS Data

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Academic paper detailing a new method for camera calibration. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · R. Yang, Y. Bar-Shalom, H. A. J. Huang ·

    Camera Calibration Using Inaccurate and Asynchronous Discrete GPS Trajectory from Drones

    arXiv:2608.26548v1 Announce Type: cross Abstract: This paper considers a stationary camera calibration problem, which estimates the camera orientation angles yaw, pitch and roll, using a drone trajectory recorded by a GPS. There are three challenges in using a GPS trajectory as g…

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