Research on vehicle speed identification method based on time interpolation method and feature point recognition. (23rd February 2023)
- Record Type:
- Journal Article
- Title:
- Research on vehicle speed identification method based on time interpolation method and feature point recognition. (23rd February 2023)
- Main Title:
- Research on vehicle speed identification method based on time interpolation method and feature point recognition
- Authors:
- Zhao, Lili
Tang, Yangshan
Wang, Leilei - Abstract:
- Based on camera calibration in detection area, an improved method of time interpolation for vehicle speed identification is proposed. Firstly, calibration of camera parameters during photogrammetry is carried out through preset rectangular detection area. Secondly, the key frames are extracted from the video images and the target vehicle feature points and their image coordinates are identified by the image morphological processing. Then the actual coordinates of the characteristic points are determined through the coordinate conversion. Finally, the improved time interpolation method considering the acceleration between frames is used to identify the vehicle speed, so as to improve the accuracy of the vehicle speed measurement. The results proved that the vehicle speed calculated by improved time interpolation method is more reliable, and the error is reduced by 0.7%.
- Is Part Of:
- International journal of advanced robotic systems. Volume 20:Number 1(2023)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 20:Number 1(2023)
- Issue Display:
- Volume 20, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 20
- Issue:
- 1
- Issue Sort Value:
- 2023-0020-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02-23
- Subjects:
- Vehicle speed identification -- detection area -- the method of time interpolation -- photogrammetry
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/17298806231153726 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25527.xml