@techreport{oai:ipsj.ixsq.nii.ac.jp:00194545,
 author = {遠山, 喬 and 長峯, 望 and 向嶋, 宏記 and Takashi, Toyama and Nozomi, Nagamine and Hiroki, Mukojima},
 issue = {6},
 month = {Feb},
 note = {近年，LiDAR の高性能化 ・ 低価格化が進み，LiDAR を用いた 3 次元計測による設備管理の改善が図られている．LiDAR を鉄道の建築限界測定に適用する場合，得られる点群のデータサイズが大きいという問題がある．特に，点群データを読み書きするために必要な時間は，性能上の重要な課題である．そこで，鉄道建築限界に適した 3 次元点群のデータフォーマットを設計した．本稿では，その概要と有効性について述べる．, In recent years, the LiDARs have been improved in performance and their prices have been reduced, and the attempts have been made to improve the facilities management using three-dimensional measurement with the LiDARs. In the case of applying the LiDARs to the railway structure gauging, there is the problem that the amount of acquired point cloud data is large. In particular, the time required to read or write the point cloud data is an important issue in their performance. Therefore, we designed a three-dimensional point cloud data format suitable for railway structure gauging. In this paper, we present its outline and its effectiveness.},
 title = {鉄道建築限界に適した 3 次元点群データフォーマットの設計},
 year = {2019}
}