Evaluating Occluded Pedestrian Detection and Enhancing Distant Recognition via Virtual Telephoto Cameras in Autonomous Driving
自動運転における対向車遮蔽歩行者の検出検証と仮想長焦点カメラを用いた遠方認識の改善
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266231
- Paper/Info type
- Proceedings (Autumn)
No.140-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 王 奕童, 2) 繆 継樹, 3) 服部 倖也, 4) 平川 翼, 5) 山下 隆義, 6) 藤吉 弘亘 |
|---|---|
| Author(E) | 1) Yitong Wang, 2) Jishu Miao, 3) Yukiya Hattori, 4) Tsubasa Hirakawa, 5) Takayoshi Yamashita, 6) Hironobu Fujiyoshi |
| Affiliation(J) | 1) 中部大学, 2) 中部大学, 3) 中部大学, 4) 中部大学, 5) 中部大学, 6) 中部大学 |
| Affiliation(E) | 1) Chubu University, 2) Chubu University, 3) Chubu University, 4) Chubu University, 5) Chubu University, 6) Chubu University |
| Abstract(J) | 自動運転の安全向上に向け，遠方の物体に対する検出精度を向上させるために，従来のカメラ視点とともに遠方領域をフォーカスした視点を併用するMulti-View BEVFormerを提案する．本手法の有効性を評価した結果，従来手法では検出が困難な100m先の物体も高精度に検出できることを実証した． Translation |
| Abstract(E) | To enhance the safety of autonomous driving and improve the detection accuracy for distant objects, we propose a Multi-View BEVFormer that combines conventional camera views with a view focused specifically on distant regions. By evaluating the effectiveness of this proposed method, we demonstrated that it achieves highly accurate detection of objects 100 meters away, which are traditionally difficult to detect using conventional approaches. |
