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Smart city article details
| Title | Edge System With Multi-Lidar Sensor Network For Tracking Micro-Mobility Vehicles |
|---|---|
| ID_Doc | 21810 |
| Authors | Kudo T.; Azuma K.; Shinkuma R.; Trovato G. |
| Year | 2023 |
| Published | Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, 2023-January |
| DOI | http://dx.doi.org/10.1109/CCNC51644.2023.10059769 |
| Abstract | This paper proposes an edge system with a sensor network formed by multiple light-detection-and-ranging (LI-DAR) sensors to identify the location of micro-mobility vehicles. The main contribution of this work is that we train machine learning (ML) models for detecting micro-mobility vehicles from point-cloud data acquired by multiple LIDAR sensors. An experiment verifies that the ML models work well for detecting a micro-mobility vehicle accurately. © 2023 IEEE. |
| Author Keywords | LIDAR; micro-mobility; object detection; point cloud; sensor network; smart city |
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