Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Predictive Risk Assessment Using Cooperation Concept for Collision Avoidance of Side Crash in Autonomous Lane Change Systems

Authors
Lee, HyunsooKang, Chang MookKim, WonheeChoi, Woo YoungChung, Chung Choo
Issue Date
Oct-2017
Publisher
IEEE
Keywords
Autonomous lane change; Risk assessment; Cooperation concept; Collision avoidance; Kalman filter
Citation
2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), v.2017-October, pp 47 - 52
Pages
6
Journal Title
2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
Volume
2017-October
Start Page
47
End Page
52
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56501
DOI
10.23919/ICCAS.2017.8204421
ISSN
2093-7121
Abstract
We present an innovative approach to risk assessment using cooperation concept for collision avoidance of side crash for autonomous lane change system. The cooperation concept is proposed to check an available space in the target lane for lane change in a short period of the future. Before moving to the target lane, the ego vehicle needs to check whether the object vehicle is cooperative or not for the lane change. The object vehicles are indexed as cooperative driver (CD) or non-cooperative driver (NCD) through the conditions based on the relative longitudinal acceleration and the collision free time. If the object vehicle is CD, the ego vehicle moves toward the target lane within the original lane for the preparation of the lane change. The ego vehicle should keep its lateral position within the original lane until the situation for the lane change becomes safe. As soon as the risk assessment becomes safe, the lane change is performed. Therefore, lane change can be started in advance compared to the conventional methods. The proposed method was validated via computational simulation and experimental results.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Energy System Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Won Hee photo

Kim, Won Hee
공과대학 (에너지시스템 공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE