Sensor Coverage Aware Probabilistic Data Association to Track Multiple Traffic Participants Using Sparsely Placed Roadside Sensors
- 提供方法
- 他サイトにて提供・販売
- 入手方法の確認はこちら
- 文献番号
- 20254644
- 文献・情報種別
- International Journal of Automotive Engineering
Vol.16 No.4
- 掲載ページ
- 96-111(Total 16 p)
- 発行年月
- 2025年 10月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
書誌事項
| カテゴリ（英） | Research paper 翻訳 |
|---|---|
| 著者（英） | 1) Eiichiro Ishibashi, 2) Kota Watanabe, 3) Takuma Ito |
| 勤務先（英） | 1) The University of Tokyo, Graduate School of Engineering, 2) The University of Tokyo, Graduate School of Engineering, 3) The University of Tokyo, Graduate School of Engineering |
| 抄録（英） | Traffic accidents on community roads, which frequently have intersections with poor visibility, are one of the social issues in Japan. Although safety technologies that utilize roadside sensors are expected to be effective for Japanese community roads, only a few roadside sensors and limited sensor coverage are available on community roads in practice. In such an environment, it is difficult to consistently track multiple traffic participants by associating sensor observations of them from one sensor coverage to another coverage. To address this difficulty, we propose a data association method for multi-target tracking on the assumption that targets can be outside the sensor coverage. The proposed method calculates the existence probability of each target being within the sensor coverage at each time step and incorporates it as a prior probability in the data association process. In the simulation experiments, comparisons with existing methods demonstrate that the proposed method achieves a higher association success rate in various conditions. Furthermore, real-world experiments validate the feasibility of the proposed method. 翻訳 |
