Edge system with multi-LIDAR sensor network for tracking micro-mobility vehicles

被引：1

作者：

Kudo, Takemaru ^{[1
]}

Azuma, Kenta ^{[1
]}

Shinkuma, Ryoichi ^{[1
,2
]}

Trovato, Gabriele ^{[1
]}

机构：

[1] Shibaura Inst Technol, Fac Engn, Tokyo, Japan

[2] Hyper Digital Twins Co Ltd HDT, Tokyo, Japan

来源：

2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年

关键词：

LIDAR; point cloud; sensor network; micromobility; object detection; smart city;

D O I：

10.1109/CCNC51644.2023.10059769

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

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页数：2

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