Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields
This paper presents a new method to detect lane changes of other vehicles automatically. The main contribution of this work is to propose a new feature using a potential field that changes the distribution depending on the relative number of adjacent vehicles. Previous researches have considered onl...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society of Automotive Engineers of Japan, Inc.
2016-10-01
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| Series: | International Journal of Automotive Engineering |
| Online Access: | https://www.jstage.jst.go.jp/article/jsaeijae/7/4/7_20164094/_article/-char/en |
| _version_ | 1797374019829235712 |
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| author | Hanwool Woo Yonghoon Ji Hitoshi Kono Yusuke Tamura Yasuhide Kuroda Takashi Sugano Yasunori Yamamoto Atsushi Yamashita Hajime Asama |
| author_facet | Hanwool Woo Yonghoon Ji Hitoshi Kono Yusuke Tamura Yasuhide Kuroda Takashi Sugano Yasunori Yamamoto Atsushi Yamashita Hajime Asama |
| author_sort | Hanwool Woo |
| collection | DOAJ |
| description | This paper presents a new method to detect lane changes of other vehicles automatically. The main contribution of this work is to propose a new feature using a potential field that changes the distribution depending on the relative number of adjacent vehicles. Previous researches have considered only some of limited situations, for example, that the preceding vehicle is slower than the target vehicle. Therefore, degradation of the detection performance can occur under conditions that were not considered. On the other hand, the new feature we propose is able to describe general lane-changing situations by applying a dynamic potential model. We trained an estimation model and evaluated the performance using a traffic dataset with over 900 lane changes. It was confirmed that the proposed method outperforms previous methods in terms of both accuracy and early detection. |
| first_indexed | 2024-03-08T18:59:49Z |
| format | Article |
| id | doaj.art-5e9a8be4281f4d9a98fd9023003170d9 |
| institution | Directory Open Access Journal |
| issn | 2185-0992 |
| language | English |
| last_indexed | 2024-03-08T18:59:49Z |
| publishDate | 2016-10-01 |
| publisher | Society of Automotive Engineers of Japan, Inc. |
| record_format | Article |
| series | International Journal of Automotive Engineering |
| spelling | doaj.art-5e9a8be4281f4d9a98fd9023003170d92023-12-28T07:47:47ZengSociety of Automotive Engineers of Japan, Inc.International Journal of Automotive Engineering2185-09922016-10-017412713410.20485/jsaeijae.7.4_127Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential FieldsHanwool Woo0Yonghoon Ji1Hitoshi Kono2Yusuke Tamura3Yasuhide Kuroda4Takashi Sugano5Yasunori Yamamoto6Atsushi Yamashita7Hajime Asama8The University of TokyoThe University of TokyoThe University of TokyoThe University of TokyoMazda Motor CorporationMazda Motor CorporationMazda Motor CorporationThe University of TokyoThe University of TokyoThis paper presents a new method to detect lane changes of other vehicles automatically. The main contribution of this work is to propose a new feature using a potential field that changes the distribution depending on the relative number of adjacent vehicles. Previous researches have considered only some of limited situations, for example, that the preceding vehicle is slower than the target vehicle. Therefore, degradation of the detection performance can occur under conditions that were not considered. On the other hand, the new feature we propose is able to describe general lane-changing situations by applying a dynamic potential model. We trained an estimation model and evaluated the performance using a traffic dataset with over 900 lane changes. It was confirmed that the proposed method outperforms previous methods in terms of both accuracy and early detection.https://www.jstage.jst.go.jp/article/jsaeijae/7/4/7_20164094/_article/-char/en |
| spellingShingle | Hanwool Woo Yonghoon Ji Hitoshi Kono Yusuke Tamura Yasuhide Kuroda Takashi Sugano Yasunori Yamamoto Atsushi Yamashita Hajime Asama Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields International Journal of Automotive Engineering |
| title | Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields |
| title_full | Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields |
| title_fullStr | Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields |
| title_full_unstemmed | Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields |
| title_short | Automatic Detection Method of Lane-Changing Intentions Based on Relationship with Adjacent Vehicles Using Artificial Potential Fields |
| title_sort | automatic detection method of lane changing intentions based on relationship with adjacent vehicles using artificial potential fields |
| url | https://www.jstage.jst.go.jp/article/jsaeijae/7/4/7_20164094/_article/-char/en |
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