Lane Change Maneuver based on Bezier Curve providing Comfort Experience for Autonomous Vehicle Users

Il Bae, Jin Hyo Kim, Jaeyoung Moon, Shiho Kim

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

8 Citations (Scopus)

Abstract

Comfort driving has emerged as an important topic in the autonomous car research field. This study focuses on lane change maneuvering (LCM) of autonomous vehicles to provide a comfortable driving experience for passengers. For this purpose, we propose an LCM algorithm for determining a desired trajectory by evaluating the allowable lateral acceleration value obtained from Bezier curves at a local path planning stage for comfortable and smooth motion of the vehicle. The performance of the proposed LCM algorithm was verified through computer simulations and real driving tests.

Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2272-2277
Number of pages6
ISBN (Electronic)9781538670248
DOIs
Publication statusPublished - 2019 Oct
Event2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand
Duration: 2019 Oct 272019 Oct 30

Publication series

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Country/TerritoryNew Zealand
CityAuckland
Period19/10/2719/10/30

Bibliographical note

Funding Information:
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the "ICT Consilience Creative Program" (IITP-2019-2017-0-01015) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation). The authors performed this work as a part of research projects of SKT-Yonsei Cooperative Autonomous Driving Research Center under the SKT-Yonsei Global Talent Fostering Program supported by the SK Telecom ICT R&D Center.

Funding Information:
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the “ICT Consilience Creative Program” (IITP-2019-2017-0-01015) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation). The authors performed this work as a part of research projects of SKT-Yonsei Cooperative Autonomous Driving Research Center under the SKT-Yonsei Global Talent Fostering Program supported by the SK Telecom ICT R&D Center.

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Management Science and Operations Research
  • Instrumentation
  • Transportation

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