Radar and video fusion dynamic space-time alignment road monitoring method

By independently retrieving and dynamically aligning radar and video surveillance targets, combined with multi-scale time synchronization and partition weight adjustment, the problems of spatiotemporal alignment accuracy and target association robustness in existing radar and video fusion monitoring technologies have been solved, achieving high-precision and stable highway monitoring results.

CN120913409AActive Publication Date: 2025-11-07SHENZHEN ARCKE INNOVATION TECH CO LTD
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Patent Information

Application Number
CN202511415299.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-30
Publication Date
2025-11-07
Estimated Expiration
2045-09-30

AI Technical Summary

Technical Problem

Existing technologies lack sufficient spatiotemporal alignment accuracy, inaccurate time synchronization, robustness and intelligence in target association and matching, especially in complex traffic scenarios where mismatches and target identity switching are prone to occur.

Method used

By acquiring radar point cloud data and video image data in real time, the system independently retrieves radar and video surveillance targets, performs dynamic spatial alignment and multi-scale time synchronization, and performs association matching based on spatial position consistency, motion trajectory continuity and appearance feature similarity. It also introduces a trajectory prediction-assisted alignment mechanism, combined with adaptive adjustment of partition weights, to output target association results.

Benefits of technology

It significantly improves the accuracy of spatiotemporal alignment and target association, enhances robustness and stability in complex scenarios, and ensures the perception accuracy and reliability of the entire monitoring area.

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Abstract

The invention belongs to the technical field of intelligent traffic, and relates to a radar and video fusion dynamic space-time alignment road monitoring method, which comprises the following steps of: firstly, independently retrieving a radar monitoring target and a video monitoring target in a road monitoring area, and adopting a dynamic space alignment and multi-scale time synchronization mode to obtain a radar monitoring target and a video monitoring target; performing space-time alignment processing on the radar monitoring target and the video monitoring target, performing association matching on the radar monitoring target and the video monitoring target after space-time alignment, and judging whether association constraint conditions are met or not based on spatial position consistency, movement track continuity and appearance feature similarity; according to the method and the device, a target association result is adaptively output according to an actual monitoring scene, structured packaging is carried out on the target association result, a fusion target data packet is generated and output for monitoring feedback, and the radar and video fusion perception precision and robustness in a full scene are remarkably improved, so that the accuracy and reliability of road monitoring are effectively guaranteed.
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