Edge computing system with multi-LIDAR sensor network for robustness of autonomous personal-mobility. - Kuon Akiyama; Ryoichi Shinkuma; Chotaro Yamamoto; Mai Saito; Toshio Ito; Koichi Nihei; Takanori Iwai (ICDCS Workshops, 2022)

Real-time adaptive data filtering with multiple sensors for indoor monitoring. - Kuon Akiyama; Ryoichi Shinkuma; Jun Shiomi (NOMS, 2022)

Real-Time Hash Aggregation for Blockchain System With 3D Sensor Network. - Kensei Hirai; Kuon Akiyama; Ryoichi Shinkuma; Aramu Mine (CCNC, 2023)

Blockchain framework for managing machine-learning models for 3D object detection. - Yoshiki Tsuruta; Kuon Akiyama; Ryoichi Shinkuma; Aramu Mine (CCNC, 2023)

Prototype of edge sensing and computing system with multi-LIDAR network for autonomous micro-mobility. - Masaki Wago; Kuon Akiyama; Ryoichi Shinkuma; Gabriele Trovato; Koichi Nihei; Takanori Iwai (CCNC, 2023)

Simulation based data acquisition system for object detection in multi-LiDAR networks. - Wang Xinyu; Kuon Akiyama; Ryoichi Shinkuma; Gabriele Trovato (GCCE, 2024)

Poster: Remote Visualization of LiDAR Data via Application-Level Network. - Kenshiro Naito; Kuon Akiyama; Ryoichi Shinkuma; Gabriele Trovato (VNC, 2024)

Blockchain framework for registering 3D machine-learning models with disclosed training datasets. - Kuon Akiyama; Yoshiki Tsuruta; Ryoichi Shinkuma; Aram Mine (ICCCN, 2025)