Research on Overspeed Vehicle Detection Based on Fusion of Millimeter-Wave Radar and Visual Images School of Mechanical Engineering, Xi'an Jiaotong University,

Format:

Book

Conference/Event

Author/Creator:

Li, Yuanchen, author.

Contributor:

Huang, Hao

Song, Liangliang

Wu, Zhichao

Xu, Haibo

Conference Name:

2025 International Conference on Big Data, Internet of Things and Intelligent Transportation (BDIT2025) (2025-07-19 : Zhengzhou, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

To address the limitations of conventional overspeed detection methods, this study proposes a vehicle overspeed detection approach based on the fusion of millimeter-wave radar (MWR) and vision sensors. The MWR captures target position and velocity data, while the vision sensor acquires vehicle image information. Radar-detected points are mapped onto visual images through coordinate transformation, and the Intersection over Union (IoU) method is employed to associate radar points with vision-detected vehicle bounding boxes. Subsequently, for radar-detected points exceeding the speed threshold, the corresponding vehicle images are identified, enabling real-time overspeed detection and data acquisition. This method not only facilitates prompt identification of speeding behavior but also extracts the associated vehicle images, ensuring both accuracy and informational integrity in overspeed monitoring. Experimental results demonstrate that the proposed method achieves high speed measurement accuracy, with an error margin below 2.9%, meeting the practical requirements for overspeed detection

Notes:

Vendor supplied data

Publisher Number:

2025-99-0129

Access Restriction:

Restricted for use by site license