Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2022-09-04T23:32:50Z | - |
dc.date.available | 2022-09-04T23:32:50Z | - |
dc.date.issued | 2020-11 | - |
dc.identifier.citation | 2020년 한국자동차공학회 추계학술대회 및 전시회, page. 732-736 | en_US |
dc.identifier.issn | 2713-7171 | - |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10519445 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/172710 | - |
dc.description.abstract | In this paper, we present a novel lane change system for intelligent vehicles combined with the model curve fitting method to plan a safe-feasible path in high speed. According to the existing literature, the current virtual potential function (VPF) performs well in real-time collision avoidance. However, this method also exists a flaw that it is based on the point mass model to produce the path in which could be non-safe for intelligent vehicles to track. To improve this method to be more practical, we propose a novel model curve fitting (MCF) method to consider the dynamics of the ground vehicles that can plan a safer path for intelligent vehicles to track. We simulated the overall system framework in MATLAB/Simulink with vehicle dynamic lateral motion model. From the simulation results, we confirm that the MCF method combined with VPF is highly effective compared to the traditional VPF method. | en_US |
dc.description.sponsorship | This work was supported by the Industrial Source Technology Development Programs (No.10082585, Development of deep learning-based open EV platform technology capable of autonomous driving), and (No.20000293, Road Surface Condition Detection using Environmental and In-vehicle Sensors) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea). | 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 | Virtual Potential Field | en_US |
dc.subject | Lane Change | en_US |
dc.subject | Optimal Path Planning | en_US |
dc.title | Autonomous Lane Change System for Intelligent Vehicle Based on Model Curve Fitting | en_US |
dc.type | Article | en_US |
dc.relation.page | 1-5 | - |
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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