Rear-end Collision warning system using linear discriminant analysis

Jhonghyun An, Baehoon Choi, Beomseong Kim, Euntai Kim, Jaeho Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a Collision warning system for rear-end collision situation to avoid an accident. There are many complex situations in roadway. Therefore, we focus on a rear-end collision which is a common traffic accident wherein a vehicle crashes into the vehicle in front of it. The state of vehicles and the TTC are used to state features and LDA is used to project the state features into linear space which can indicate the possibility of collision. Computer simulation will be show the validity of our proposed method.

Original languageEnglish
Title of host publication2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-221
Number of pages4
ISBN (Electronic)9781479959556
DOIs
Publication statusPublished - 2014 Feb 18
Event2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 - Kitakyushu, Japan
Duration: 2014 Dec 32014 Dec 6

Publication series

Name2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014

Other

Other2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014
CountryJapan
CityKitakyushu
Period14/12/314/12/6

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

An, J., Choi, B., Kim, B., Kim, E., & Hwang, J. (2014). Rear-end Collision warning system using linear discriminant analysis. In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014 (pp. 218-221). [7044863] (2014 Joint 7th International Conference on Soft Computing and Intelligent Systems, SCIS 2014 and 15th International Symposium on Advanced Intelligent Systems, ISIS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2014.7044863