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

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.