An Image Recognition Application Method for Vertical Movement of Vehicles

In ITS, image processing technology is applied to a wide variety of areas such as visual-based intelligent vehicle navigation, visual-based traffic monitoring and visual-based traffic management. In the recognition system of the vehicle body characteristics, most of the recognition is the license plate and the car emblem, etc. This paper proposes an image recognition application method for the vertical motion of the car while driving, mainly including vertical height detection and vertical displacement velocity acceleration recognition. The edge detection model of the image object is established by using the gray image to obtain the car motion segmentation image. At the same time, an image length and actual length coordinate conversion model is established, which can calculate an arbitrary actual length of the image object. In this paper, Yuejin Shangjun X500 van was selected as the test vehicle, and the video data was captured with a camera. In the static recognition test, the error is compared with the actual height. The absolute error can be controlled within 40 mm, and the minimum relative error can reach 1.23%. The vertical movement curve obtained by dynamic recognition can obtain the weighted acceleration RMS value of vertical movement and judge the comfort of human senses. The feasibility of this method is evaluated and the reliability of its application is illustrated in the paper. This method can be used for monitoring and evaluating vehicles, which is of great significance for traffic monitoring and management.

• Record URL:
  https://doi.org/10.4271/2020-01-0733
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Li, Ming
  • Tan, Gangfeng
  • Wang, Zhenyu
  • Wang, Haoyu
  • Jiang, Yifeng
  • Guo, Donghua
  • Feng, Jiaming
• Conference:
  • WCX SAE World Congress Experience
  • Location: Detroit Michigan, United States
  • Date: 2020-4-21 to 2020-4-23
• Publication Date: 2020-4-14

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Highway traffic control; Image processing; Navigation; Navigation systems; Visualization
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01740222
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2020-01-0733
• Files: TRIS, SAE
• Created Date: May 26 2020 10:20AM