Calibration methods, devices, electronic equipment, storage media, and software products for dead reckoning information

By acquiring pseudo-measurement information and noise parameters in the inertial measurement unit and using a data filter for self-calibration of dead reckoning information, the problem of the inertial measurement unit error increasing over time is solved, and real-time accurate calibration is achieved without positioning system signals.

CN122083989APending Publication Date: 2026-05-26TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-26
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Inertial measurement units generate errors during measurement and calculation. Existing technologies rely on positioning data provided by positioning systems for calibration, which leads to an increase in errors over time when there is no positioning data, resulting in inaccurate dead reckoning information.

Method used

By acquiring the first dead reckoning information and pseudo-measurement information from the inertial measurement unit, converting it to the vehicle coordinate system, determining the measurement error, and using the noise parameters of the data filter for calibration, the dead reckoning information can be self-calibrated.

Benefits of technology

In the absence of a positioning system signal, measurement errors are determined through pseudo-measurement information, ensuring the normal operation of the data filter and enabling real-time calibration of dead reckoning information. This improves the accuracy and real-time performance of calibration and avoids error accumulation.

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Abstract

This application provides a method, apparatus, electronic device, storage medium, and program product for calibrating dead reckoning information. The method includes: acquiring first dead reckoning information and pseudo-measurement information of a vehicle, wherein the first dead reckoning information is determined by the vehicle's inertial measurement unit (IMU), and the pseudo-measurement information is represented in the vehicle coordinate system; transforming the first dead reckoning information to the vehicle coordinate system to obtain second dead reckoning information of the vehicle; determining the measurement error of the IMU based on the second dead reckoning information and the pseudo-measurement information; acquiring noise parameters of a data filter, wherein the noise parameters describe the noise of the data filter; and calibrating the first dead reckoning information of the vehicle through the data filter based on the measurement error and the noise parameters to obtain third dead reckoning information of the vehicle. This application can effectively improve the accuracy of calibrated dead reckoning information.
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