<b>Frontal Obstacle Detection Using Background Subtraction and Frame Registration</b>
-
- NAKASONE Ryuta
- Signalling Systems Laboratory, Signalling and Transport Information Technology Division
-
- NAGAMINE Nozomi
- Signalling Systems Laboratory, Signalling and Transport Information Technology Division
-
- UKAI Masato
- Signalling and Transport Information Technology Division
-
- MUKOJIMA Hiroki
- Nagoya University
-
- DEGUCHI Daisuke
- Nagoya University
-
- MURASE Hiroshi
- Nagoya University
この論文をさがす
説明
<p>Systems such as Automatic Train Protection and moving block sections help prevent trains colliding, however collisions with unexpected obstacles in front of a train can only be avoided if seen by the driver. In an effort to reduce the possibility of this type of collision and to improve passenger safety, an obstacle detection method has been proposed using a monocular camera and image processing. The proposed method can detect obstacles by comparing live images from the camera with images obtained by other trains operating earlier along the same route. The difference between the two sets of images are defined as obstacles. The performance of the method was verified by conducting experiments using rolling stock and imitation obstacles.</p>
収録刊行物
-
- Quarterly Report of RTRI
-
Quarterly Report of RTRI 58 (4), 298-302, 2017
公益財団法人 鉄道総合技術研究所
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204463316992
-
- NII論文ID
- 130006249008
-
- ISSN
- 18801765
- 00339008
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
-
- 抄録ライセンスフラグ
- 使用不可