Safe Technology with a Novel Rear Collision Avoidance System of Vehicles

Yi Shun Chen, Sheng Chien Chiu, Shu San Hsiau

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish
Pages (from-to)693-699
Number of pages7
JournalInternational Journal of Automotive Technology
Issue number4
StatePublished - 1 Aug 2019


  • Collision prediction method
  • Millimeter-wave radar sensor
  • Rear-end vehicle collision
  • Safe technology
  • Warning frequency


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