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 language | English |
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Title of host publication | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2272-2277 |
Number of pages | 6 |
ISBN (Electronic) | 9781538670248 |
DOIs | |
Publication status | Published - 2019 Oct |
Event | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand Duration: 2019 Oct 27 → 2019 Oct 30 |
Publication series
Name | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
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Conference
Conference | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
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Country/Territory | New Zealand |
City | Auckland |
Period | 19/10/27 → 19/10/30 |
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