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SVM을 이용한 차량 주행 경로 예측

Title
SVM을 이용한 차량 주행 경로 예측
Other Titles
Object Vehicle Driving Path Prediction using Support Vector Machine
Author
정정주
Keywords
차간 거리 제어; 서포트 벡터 머신; 주행 경로 예측; 주변 차량; 머신 러닝; Adaptive Cruise Control; Support Vector Machine; Driving Path Prediction; Object Vehicle; Machine learning
Issue Date
2016-05
Publisher
한국자동차공학회
Citation
2016 한국자동차공학회 춘계학술대회, Page. 1081-1084
Abstract
In this paper, we proposes closest in path vehicle detection method using support vector machine to improve the performance of adaptive cruise control. Rapid acceleration and deceleration can be prevented with object vehicle driving path prediction. The performance was validated via experimental results.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07124171http://hdl.handle.net/20.500.11754/68071
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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