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Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data

Zhimeng Zhang et al · European Alliance for Innovation (EAI) · 2026

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This paper proposes a dynamic error compensation method that integrates inertial measurement unit (IMU) data. The initial distance is obtained based on the binocular vision triangulation ranging principle. By analyzing the dynamic error sources such as camera movement, cable vibration and environmental interference, the IMU multi-sensor is integrated to collect the system's motion, attitude and environmental parameters in real time. The IMU data is integrated and processed to calculate the compensation amount of multi-source errors. With the help of the PID controller, the proportional-integral-derivative operation and linear combination of the total compensation amount are carried out to achieve effective compensation of dynamic errors. Experiments show that this method can significantly improve the ranging stability under different working conditions, and the coefficient of variation is always lower than 0.2.

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APA 7

al, Z. Z. E. (2026). Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data. https://doi.org/10.4108/ew.12830

MLA

al, Zhimeng Zhang et. "Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data." 2026. https://doi.org/10.4108/ew.12830.

Chicago

al, Zhimeng Zhang et. 2026. "Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data.". https://doi.org/10.4108/ew.12830.

Harvard

al, Z. Z. E. 2026, Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data, European Alliance for Innovation (EAI), available at: https://doi.org/10.4108/ew.12830 [Accessed 6 Aug. 2026].

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Title
Dynamic Error Compensation Method for Binocular Ranging of Transmission Lines Integrating IMU Data
Author / contributors
Zhimeng Zhang et al
Publisher
European Alliance for Innovation (EAI)
Publication year
2026
ISSN
2032-944X
ISSN
2032-944X
Language
English

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