A real-time vision-based safety assist system

Bing-Fei Wu*, Ying Han Chen, Hsin Yuan Peng, Chao Jung Chen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


In this paper, a real-time vision-based safety assist system is proposed to provide the driver an assistance system improving the security on driving and after parking. The estimated distances and a friendly intuitive graph are shown on the screen for drivers to examine the distance between other vehicles. The driving status can also be recorded in H.264. Furthermore, the users' mobile phones can monitor the images inside the vehicles to prevent the thieves after parking. The system has been implemented with the embedded systems and tested by the real road environment.

Original languageAmerican English
Article number4811754
Pages (from-to)2994-2999
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
StatePublished - 1 Dec 2008
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 12 Oct 200815 Oct 2008


  • Embedded system
  • Surveillance
  • Vision


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