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.