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.
Highlights
Introduction and Related WorkOn Belgian roads, every year approximately 50 people are involved in blind spot accidents [1], of which approximately 10% end lethally
A Bluetooth Low Energy (BLE)-based detection and warning system where both the truck driver and the vulnerable road user are warned for a potential danger, Sensors 2020, 20, 2727; doi:10.3390/s20092727
We propose a blind spot detection and warning system based on Bluetooth Low Energy (BLE), warning both the truck driver and the vulnerable road user for a possible blind spot accident
Summary
On Belgian roads, every year approximately 50 people are involved in blind spot accidents [1], of which approximately 10% end lethally. Camera systems use visual parameters to detect vehicles in the blind spot through post-processing machine learning algorithms [2,3,4]. Their big advantage is the visualization of a potential accident. A BLE-based detection and warning system where both the truck driver and the vulnerable road user are warned for a potential danger, Sensors 2020, 20, 2727; doi:10.3390/s20092727 www.mdpi.com/journal/sensors. We propose a blind spot detection and warning system based on Bluetooth Low Energy (BLE), warning both the truck driver and the vulnerable road user for a possible blind spot accident.
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