Freight vehicle mass estimation method based on image recognition

By combining cameras and software processing units with image recognition technology, the problem of high cost of sensing equipment is solved, low-cost vehicle mass estimation and overload detection are achieved, and vehicle operation safety is improved.

CN115830099BActive Publication Date: 2025-09-23RES INST OF HIGHWAY MINIST OF TRANSPORT
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Patent Information

Application Number
CN202211447952.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-18
Publication Date
2025-09-23
Estimated Expiration
2042-11-18

AI Technical Summary

Technical Problem

Existing vehicle mass estimation methods require the installation of sensor equipment, which leads to high costs and difficulty in widespread application.

Method used

An image recognition-based method is used, utilizing the vehicle's camera and background software processing unit to estimate the vehicle mass by calculating the area of ​​the white dotted line in the camera image, and real-time estimation is performed in combination with vehicle speed and acceleration data.

Benefits of technology

It achieves low-cost vehicle mass estimation, improves vehicle operation safety and overload detection capabilities, reduces hardware costs, and is suitable for uniform speed driving environments on flat and straight roads.

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Abstract

A method for estimating the total vehicle mass of freight vehicles based on image recognition is implemented with the help of a camera installed on the vehicle and a processing unit equipped with a vehicle total vehicle mass estimation system in order to improve the safety technology level of the freight vehicle itself. The processing unit estimates the total vehicle mass of the freight vehicle by calculating the area of ​​the white dotted line graphic captured by the camera during the vehicle's driving process occupied by the entire picture. The total vehicle mass data can be obtained only through the camera and software system. The hardware cost is very low, and the camera can use the cameras of other auxiliary driving systems in the vehicle, so the material cost of estimating the total vehicle mass is basically zero.
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