Video-Based and Mobile-Terminal Intelligence Perception Method of Car License Plate

In the environment perception technology of autonomous vehicles, the dynamic sensing and tracking of vehicles are basic and key step. In order to improve the efficiency of vehicle perception in the traffic environment, this paper proposed a smart terminal car license plate perceptual method. The Mobilenet-SSD model is used to locate the position of the position of car and car license plate. The OCR algorithm is used to recognize the character information on the car license plate. The experiment found that using enhanced deep super-resolution network (EDSR) preprocessing method to increase the resolution of image for poorly captured car license plates can also improve the effective perception rate of the perceptual model. In addition, the transmission and feedback of video frames can effectively reduce the computing cost of vehicle sensors and improve the level of environmental perception and understanding of autonomous vehicles.

Language

  • English

Media Info

  • Media Type: Web
  • Pagination: pp 930-941
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01767377
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:02PM