The article presents a system of modular devices that use low-cost ultrasonic sensors to detect and characterize on-road vehicles. The key highlights are:
The system is composed of multiple modules, each with a single ultrasonic sensor oriented at a different angle. This allows the modules to collaborate and improve the accuracy of vehicle speed and length measurements.
The modules use signal processing techniques like exponential moving average filtering, CUSUM event detection, and derivative tests to extract vehicle speed and length from the sensor data.
Experiments were conducted with a single module prototype as well as a simulated multi-module system. The results show that using multiple modules at different angles can reduce the relative error in speed measurement from 5-18% down to less than 1%, and the relative error in length measurement from 5-13% down to around 4%.
The modular and distributed nature of the system makes it suitable for deployment along roads and highways, enabling applications like traffic monitoring, incident detection, and adaptive traffic control.
The low-cost and computationally efficient design of the modules allows them to be placed closer to the road, overcoming the limitations of high-cost vision-based systems that require centralized processing.
Overall, the article demonstrates how a collaborative modular sensor system can provide an effective and economical solution for on-road vehicle detection and characterization.
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by Jose... às arxiv.org 05-03-2024
https://arxiv.org/pdf/2405.00678.pdfPerguntas Mais Profundas