Methods, devices, equipment and storage media for parameter calibration of roadside sensors

By generating a sensor list online and performing cross-validation, the problem of offline calibration and individual management of roadside sensors was solved, achieving efficient and accurate sensor parameter calibration.

CN115439556BActive Publication Date: 2026-05-26APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
APOLLO INTELLIGENT CONNECTIVITY (BEIJING) TECH CO LTD
Filing Date
2022-09-02
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing roadside sensors require manual offline calibration, and the calibration results of the internal and external parameters of each sensor are managed separately, making cross-validation difficult and resulting in insufficient calibration accuracy.

Method used

This paper provides an online parameter calibration method for roadside sensors. By generating a sensor list, the method allows users to add and manage sensors online, and cross-validate sensors at the same intersection to determine parameter errors. If necessary, the sensors can be recalibrated to improve accuracy.

Benefits of technology

It enables online calibration and unified management of roadside sensor parameters, improving calibration efficiency and accuracy, simplifying manual operation, and ensuring the accuracy of sensor parameters.

✦ Generated by Eureka AI based on patent content.

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Abstract

This disclosure provides a method, apparatus, device, and storage medium for calibrating roadside sensors, relating to the field of artificial intelligence technology, and particularly to the fields of vehicle-road cooperation and intelligent transportation technology. This solution allows users to easily calibrate the parameters of roadside sensors in a list online to obtain the corresponding parameters. This enables unified storage and management of the parameters corresponding to each roadside sensor in the list. When a user needs to cross-verify a specific roadside sensor in the list, they can conveniently verify its calibrated parameters against those of other roadside sensors installed at the same intersection. This allows for recalibration of the corresponding roadside sensors when errors are significant, ensuring the accuracy of the calibrated parameters for each roadside sensor.
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