@techreport{oai:ipsj.ixsq.nii.ac.jp:00183303,
 author = {上野, 秀樹 and 尾崎, 信之 and 佐藤, 俊雄 and 鈴木, 美彦 and 大場, 義和 and 堺, 浩 and 瀬尾, 亨 and 朝倉, 康夫 and 松下, 雅行 and 割田, 博 and Hideki, Ueno and Nobuyuki, Ozaki and Toshio, Sato and Yoshihiko, Suzuki and Yoshikazu, Ohba and Hiroshi, Sakai and Toru, Seo and Yasuo, Asakura and Masayuki, Matsushita and Hiroshi, Warita},
 issue = {11},
 month = {Aug},
 note = {Although on-road sensors or probe vehicles have heen already utilized for traffic state estimation, there are issues of installation / maintenance costs or lacks of volume-related variables. To overcome this drawback, camera-equipped probe vehicles that acquire not only position and speed information but also inter-vehicle distance are proposed. In this paper, we propose an automated measurement system to obtain the inter-vehicle distance using two kinds of image processing techniques. Experimental results demonstrate that automated measurement of inter-vehicle distance by image processing achieves sufficient performances for traffic state estimation., Although on-road sensors or probe vehicles have heen already utilized for traffic state estimation, there are issues of installation / maintenance costs or lacks of volume-related variables. To overcome this drawback, camera-equipped probe vehicles that acquire not only position and speed information but also inter-vehicle distance are proposed. In this paper, we propose an automated measurement system to obtain the inter-vehicle distance using two kinds of image processing techniques. Experimental results demonstrate that automated measurement of inter-vehicle distance by image processing achieves sufficient performances for traffic state estimation.},
 title = {画像プローブシステムを用いた交通状況の推定},
 year = {2017}
}