A fuzzy decision making algorithm for safe driving in urban environment

Sun D. Kim, Chi W. Roh, Sung Chul Kang, Jae-Bok Song

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

3 Citations (Scopus)

Abstract

Safe and autonomous driving is one of the most important challenges in mobile robotics and has been received considerable attention over die past years in indoor and outdoor navigations. Most methods developed so far immediately activate an obstacle avoidance algorithm when a robot meets obstacles without predicting the motion of the obstacle. These methods would be inefficient for the navigation in urban environments with traffic lane because the traffic lane becomes a constraint in the robot motion. For the safe driving in urban environments, it is efficient to consider this constraint before performing an obstacle avoidance algorithm in the planning phase when the robot meets an obstacle. Therefore, a decision making algorithm for safe driving in case of navigating on the road is needed. In terms of its simplicity and its short response time, a fuzzy algorithm is especially suitable for real-time applications. In this paper, we propose a fuzzy-based decision making algorithm for the outdoor navigation of mobile robots. The algorithm is tested in crossroad environment. To satisfy the robot's safety requirements and to spend less time on the intersection, we designed our navigation algorithm consists of two primary parts: perception (understanding environment) and decision making part. This paper focuses on the decision making part. Simulation results show the algorithm's effectiveness.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages678-683
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: 2007 Oct 172007 Oct 20

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period07/10/1707/10/20

Fingerprint

Decision making
Navigation
Robots
Collision avoidance
Mobile robots
Robotics
Planning

Keywords

  • Fuzzy-based decision making
  • Mobile robot
  • Safe driving
  • Urban environment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, S. D., Roh, C. W., Kang, S. C., & Song, J-B. (2007). A fuzzy decision making algorithm for safe driving in urban environment. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 678-683). [4406985] https://doi.org/10.1109/ICCAS.2007.4406985

A fuzzy decision making algorithm for safe driving in urban environment. / Kim, Sun D.; Roh, Chi W.; Kang, Sung Chul; Song, Jae-Bok.

ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 678-683 4406985.

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

Kim, SD, Roh, CW, Kang, SC & Song, J-B 2007, A fuzzy decision making algorithm for safe driving in urban environment. in ICCAS 2007 - International Conference on Control, Automation and Systems., 4406985, pp. 678-683, International Conference on Control, Automation and Systems, ICCAS 2007, Seoul, Korea, Republic of, 07/10/17. https://doi.org/10.1109/ICCAS.2007.4406985
Kim SD, Roh CW, Kang SC, Song J-B. A fuzzy decision making algorithm for safe driving in urban environment. In ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 678-683. 4406985 https://doi.org/10.1109/ICCAS.2007.4406985
Kim, Sun D. ; Roh, Chi W. ; Kang, Sung Chul ; Song, Jae-Bok. / A fuzzy decision making algorithm for safe driving in urban environment. ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. pp. 678-683
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