주행의도 판단을 위해 Sequential Backward Selection을 이용한 최적의 특 징값 선정 방법
- Title
- 주행의도 판단을 위해 Sequential Backward Selection을 이용한 최적의 특 징값 선정 방법
- Other Titles
- Feature Selection Method using Sequential Backward Selection to predict driver’s intention
- Author
- 이상선
- Keywords
- 경로예측; 운전자 행동; 주행의도예측; 차선변경; 머신러닝; Path prediction; Driver behavior; Intention prediction; Lane change; Machine learning
- Issue Date
- 2019-11
- Publisher
- 한국자동차공학회
- Citation
- 2019 한국자동차공학회 추계학술대회 및 전시회, Page. 820-822
- Abstract
- Many researchers have attempted to model driver behavior for predicting the trajectory of surrounding vehicles. It is
difficult to predict, even a few seconds in advance, since it depends on each driver’s intention and driving habits. In an effort to cope with these obstacles, various approaches using NGSIM datasets and machine learning algorithm have been proposed.
However, many literature use different feature and algorithm to predict driver’s intention. In this paper, we present a novel
features to be used in machine learning algorithms to estimate lane change intention.
- URI
- http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09295691https://repository.hanyang.ac.kr/handle/20.500.11754/155090
- ISSN
- 2713-7171
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML