Finite state machine based vehicle system for autonomous driving in urban environments

  • Sang Hyeon Bae
  • , Sung Hyeon Joo
  • , Jung Won Pyo
  • , Jae Seong Yoon
  • , Kwanghee Lee
  • , Tae Yong Kuc

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

In autonomous driving systems, many approach have been developed based on high-precision sensors, high computing power, development of various networks in academia and industry. The key point of an autonomous car is that it needs to know what is happening in the driving situation and an action corresponding to this situation must be created and operated. In this paper, we propose the system structure and method of a autonomous driving car consisting of three main parts:perception, planning, control. Each main part is designed to recognize the real-time driving environment, make action plan based on finite state machine, and activate kinematic model based control. The proposed vehicle system copes with six major situations of urban environment driving, and we verified system through the simulation.

Original languageEnglish
Title of host publication2020 20th International Conference on Control, Automation and Systems, ICCAS 2020
PublisherIEEE Computer Society
Pages1181-1186
Number of pages6
ISBN (Electronic)9788993215205
DOIs
StatePublished - 13 Oct 2020
Event20th International Conference on Control, Automation and Systems, ICCAS 2020 - Busan, Korea, Republic of
Duration: 13 Oct 202016 Oct 2020

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2020-October
ISSN (Print)1598-7833

Conference

Conference20th International Conference on Control, Automation and Systems, ICCAS 2020
Country/TerritoryKorea, Republic of
CityBusan
Period13/10/2016/10/20

Keywords

  • Action Planning
  • Autonomous Vehicle System
  • Finite State Machine

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