| Title |
Edge system with multi-LIDAR sensor network for tracking micro-mobility vehicles |
| ID_Doc |
44350 |
| Authors |
Kudo, T; Azuma, K; Shinkuma, R; Trovato, G |
| Title |
Edge system with multi-LIDAR sensor network for tracking micro-mobility vehicles |
| Year |
2023 |
| Published |
|
| DOI |
10.1109/CCNC51644.2023.10059769 |
| Abstract |
This paper proposes an edge system with a sensor network formed by multiple light-detection-and-ranging (LIDAR) 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. |
| Author Keywords |
LIDAR; point cloud; sensor network; micromobility; object detection; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000982339100233 |
| WoS Category |
Computer Science, Hardware & Architecture; Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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