A method and system for online self-calibration of a lidar and camera without induction

By employing a non-intrusive online self-calibration method for LiDAR and cameras, and utilizing a multi-source triggering mechanism and a multi-modal verification model, the automatic self-detection and self-calibration of sensor parameters are achieved. This solves the problems of high cost and limited frequency of traditional calibration methods, and improves the reliability and operational efficiency of autonomous driving systems.

CN122592369APending Publication Date: 2026-08-18东风悦享科技有限公司
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Patent Information

Application Number
CN202610646726.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-12
Publication Date
2026-08-18

AI Technical Summary

Technical Problem

In existing autonomous driving systems, sensor calibration parameters are prone to degradation during long-term use, making it impossible to detect and update them in a timely manner, which leads to a decline in the performance of the perception system. Furthermore, traditional calibration methods require specialized equipment and personnel, which are costly and time-consuming, and cannot be completed in the daily operation of vehicles.

Method used

The system employs a non-intrusive online self-calibration method using lidar and cameras. It collects data during vehicle operation through a multi-source triggering mechanism, constructs a multimodal verification model using geometric constraints, motion consistency, and perception fusion, automatically monitors the calibration parameter status, and performs calibration calculations during system idle periods or after the user locks the vehicle and then poweres it off. It supports dual-mode calculations on both the vehicle and cloud sides.

Benefits of technology

It achieves automated self-detection and self-calibration of sensor calibration parameters, reduces operation and maintenance costs, improves the reliability and uptime of autonomous vehicles, ensures that the calibration process does not affect safety-critical tasks, adapts to different environmental conditions, and lowers the technical threshold.

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Abstract

The present application relates to a kind of laser radar and camera online self-calibration method and system without induction, the method includes: S1.in the process of vehicle driving, through multi-source trigger mechanism acquisition laser radar point cloud data and camera image data, simultaneously obtain vehicle motion state information and automatic driving perception system output result, the multi-source trigger mechanism includes time trigger, event trigger and cloud data mining trigger parameter degradation model;S2.the pre-processing and feature extraction of the multi-source data collected, obtain laser radar point cloud feature and camera image feature;S3.based on geometric constraint, motion consistency and perception result fusion, constructs multi-modal verification model, and carries out multi-dimensional verification to calibration parameter.The present application not only reduces the artificial maintenance cost, through automatic means maintenance vehicle state to achieve sensor calibration parameter degradation self-detection and self-calibration without induction, and improves the reliability and attendance rate of automatic driving vehicle.
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