Safe Technology with a Novel Rear Collision Avoidance System of Vehicles

This study aims to reduce the severity of injuries caused by and the frequency of rear-end vehicle collisions. A better collision prediction method is proposed by means of millimeter-wave radar sensors able to rapidly detect potential collisions and alert drivers. Implementation of the system would bring about a reduction in accidents and potentially reduce the severity of the accidents that cannot be avoided. The proposed collision avoidance system adopted millimeter-wave radar sensors to collect information on vehicle’s rear surroundings. The designed experimental device has several unique features. The device has a wide monitoring range, incorporates a continuous detection process, and contains a rapid warning system. A series of real-world experiments were performed on cars (Model: Tercel 1.5, Toyota) to demonstrate the monitoring efficiency and warning frequency of this device under several operating conditions. This study furthered the development of a safe technology for avoidance of rear-end collisions, and this offers a novel system which can be used in a variety of vehicles to reduce the frequency of rear-end vehicle collisions.

• Record URL:
  • https://doi.org/10.1007/s12239-019-0065-0
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/12299138
• Supplemental Notes:
  • Copyright © 2019, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
• Authors:
  • Chen, Yi-Shun
  • Chiu, Sheng-Chien
  • Hsiau, Shu-San
• Publication Date: 2019-8

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 693-699
• Serial:
  • International Journal of Automotive Technology
  • Volume: 20
  • Issue Number: 4
  • Publisher: Korean Society of Automotive Engineers
  • ISSN: 1229-9138
  • EISSN: 1976-3832
  • Serial URL: http://link.springer.com/journal/12239

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Crash rates; Crash severity; Radar devices; Rear end crashes; Warning devices
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01718364
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 27 2019 9:59AM