A Bluetooth-Low-Energy-Based Detection and Warning System for Vulnerable Road Users in the Blind Spot of Vehicles

Author:

De Raeve NickORCID,de Schepper Matthias,Verhaevert JoORCID,Van Torre PatrickORCID,Rogier HendrikORCID

Abstract

Blind spot road accidents are a frequently occurring problem. Every year, several deaths are caused by this phenomenon, even though a lot of money is invested in raising awareness and in the development of prevention systems. In this paper, a blind spot detection and warning system is proposed, relying on Received Signal Strength Indicator (RSSI) measurements and Bluetooth Low Energy (BLE) wireless communication. The received RSSI samples are threshold-filtered, after which a weighted average is computed with a sliding window filter. The technique is validated by simulations and measurements. Finally, the strength of the proposed system is demonstrated with real-life measurements.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of Vehicles and Travelers in Public Transport System Using Bluetooth and Wi-Fi;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

2. Presence Detection Based on Bluetooth Low Energy Using the Exposure Notification Service;2024 19th Wireless On-Demand Network Systems and Services Conference (WONS);2024-01-29

3. Edge based Blind Spot Avoidance and Speed Monitoring for Emergency Vehicles;Procedia Computer Science;2024

4. Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle;Remote Sensing;2023-11-28

5. Method for Detection and Classification of Turning Movements in Intersections Using Bluetooth Low-Energy Signals;Journal of Transportation Engineering, Part A: Systems;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3