A soft computing approach for collision risk assessments

Seongkeun Park, Beomsung Kim, Baehoon Choi, Eunati Kim, Heejin Lee, Hyung Jin Kang

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

1 Citation (Scopus)

Abstract

In this paper, we propose a collision risk assessment system using soft computing method. By using Monte Carlo Method, we make some samples for collision risk, and we recover collision risk of whole area using neural network. Multi-layer perceptron neural network will be applied to proposed algorithm. And fuzzy system will decide the final collision risk by considering not only collision risk but also time for collision. Simulation results will show the validity of our proposed method.

Original languageEnglish
Title of host publicationICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
Pages1908-1910
Number of pages3
Publication statusPublished - 2011 Dec 1
Event2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 - Gyeonggi-do, Korea, Republic of
Duration: 2011 Oct 262011 Oct 29

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
CountryKorea, Republic of
CityGyeonggi-do
Period11/10/2611/10/29

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Park, S., Kim, B., Choi, B., Kim, E., Lee, H., & Kang, H. J. (2011). A soft computing approach for collision risk assessments. In ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems (pp. 1908-1910). [6106192] (International Conference on Control, Automation and Systems).