用于静止车辆下精确目标检测的传感器融合

Fady A. Abouelghit, Waleed Y. Alarid, Mostafa S. Elmanfalouty, Hagar S. ElSakka, Ibrahim E. Elamry, R. Daoud, H. Amer, M. Arafa
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引用次数: 1

摘要

目前,车辆底盘下的目标检测受到了广泛的关注。本文提出了一种检测静止车辆下物体的系统,无论物体是在地面上还是附着在底盘上。采用传感器融合技术提高系统精度。该系统采用了超声波传感器和激光雷达。首先在单个传感器级别进行融合,然后将两种传感器的数据融合在一起,以准确检测和定位潜在目标。利用HC-SR04超声传感器和TFmini激光雷达成功进行了实验。然后提出了一个灵活的系统,可以调整到其他类型的超声波传感器和激光雷达的特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor Fusion for Accurate Object Detection Underneath Stationary Vehicles
Object detection under a vehicle's undercarriage is receiving a lot of attention nowadays. This paper proposes a system to detect objects under a stationary vehicle, whether the object is on the ground or attached to the undercarriage. Sensor fusion is used to increase system accuracy. Ultrasonic sensors as well as a LiDAR are used in the proposed system. Fusion is performed at the individual sensor level first then data from both types of sensors is fused together to accurately detect and locate a potential object. Experiments were successfully conducted using a HC-SR04 ultrasonic sensor and a TFmini LiDAR. A flexible system is then proposed that can be tuned to the characteristics of other types of ultrasonic sensors and LiDARs.
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