交通調査

[IV-60] Basic research on estimating pedestrian attributes using Inexpensive LiDAR dynamic point cloud data

*Xiuwen GU, Ryuichi Imai¹, Daisuke Kamiya ³, Yuhei Yamamoto², Jiang Wenyuan⁴, Masaya Nakahara⁵ (1. HOSEI University, 2. KANSAI University, 3. University of the RYUKYUS, 4. OSAKA SANGYO Universit , 5. Osaka Electro-Communication University)

Keywords:community revitalization, pedestrian traffic volume survey, pedestrian attributes, LiDAR, point cloud data, deep learning