Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2022-07-27T05:40:24Z | - |
dc.date.available | 2022-07-27T05:40:24Z | - |
dc.date.issued | 2020-10 | - |
dc.identifier.citation | 2020 20th International Conference on Control, Automation and Systems (ICCAS), page. 1220-1224 | en_US |
dc.identifier.isbn | 978-89-93215-20-5 | - |
dc.identifier.isbn | 978-1-7281-8562-0 | - |
dc.identifier.issn | 2642-3901 | - |
dc.identifier.issn | 1598-7833 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9268405 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/171828 | - |
dc.description.abstract | In this paper, we propose an estimation of the accurate vehicle position using Interacting Multiple Model Extended Kalman Filter (IMM EKF) when road surface varies. Since the vehicle has different cornering stiffness as the road surface varies, it is difficult to accurately estimate the position of the vehicle. To resolve this problem, we present the IMM EKF considering each model of different roads to improve the estimation performance. From the numerical simulation using MATLAB/CARSIM, we observed that the performance of the proposed algorithm improves vehicle positioning performance. | en_US |
dc.description.sponsorship | This work was supported in parts by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.R7117-16-0164, Development of widearea driving environmental awareness and cooperative driving technology which are based on V2X wireless communication), and by Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korea government (MOTIE) (No.10082585, Development of deep learning-based open EV platform technology capable of autonomous driving). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ICROS | en_US |
dc.subject | Autonomous Driving | en_US |
dc.subject | Interacting Multiple Model | en_US |
dc.subject | Kalman Filter algorithm | en_US |
dc.subject | Vehicle Positioning | en_US |
dc.title | IMM EKF based Sensor Fusion of GPS with In-Vehicle Sensors for Vehicle Positioning Under Various Road Surface Conditions | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.23919/ICCAS50221.2020.9268405 | - |
dc.relation.page | 1-6 | - |
dc.contributor.googleauthor | Heo, Hyeon Uk | - |
dc.contributor.googleauthor | Kim, Dae Jung | - |
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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