Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2022-03-29T05:17:34Z | - |
dc.date.available | 2022-03-29T05:17:34Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.citation | 2020 한국자동차공학회 춘계학술대회, page. 348-352 | en_US |
dc.identifier.issn | 2713-7163 | - |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09417978 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/169493 | - |
dc.description.abstract | In this paper, we present a novel approach for waypoint tracking scheme with a local path planner based on the artificial potential field (APF) to avoid dynamic obstacles. It is reported that APF is highly efficient in collision-avoidance issues, but there is less work combining the waypoint tracking with APF-based local path planner. To enrich this field, a waypoint tracking using APF with speed variation is proposed to prevent the possibly excessive tire slip angle when the vehicle is driven at a high speed. The simulation results show that the proposed algorithm is effective in collision avoidance with dynamic obstacles, especially for waypoint tracking scenario. The proposed system framework is validated with the vehicle dynamic lateral motion model in MATLAB/Simulink and CarSim. | en_US |
dc.language.iso | en | en_US |
dc.publisher | 한국자동차공학회 | en_US |
dc.subject | Autonomous Vehicle | en_US |
dc.subject | Collision Avoidance | en_US |
dc.subject | Artificial Potential Field | en_US |
dc.subject | Local Path Planning | en_US |
dc.subject | Waypoint Tracking | en_US |
dc.title | Intelligent Vehicle for Collision Avoidance Using Artificial Potential Field with Speed Variation | en_US |
dc.type | Article | en_US |
dc.relation.page | 348-352 | - |
dc.contributor.googleauthor | Lin, Pengfei | - |
dc.contributor.googleauthor | Choi, Woo Young | - |
dc.contributor.googleauthor | Chung, Chung Choo | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | cchung | - |
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