基于PIR传感器的车辆检测与速度估计

Proceedings of the 14th International Conference on Information Processing in Sensor Networks Pub Date : 2015-04-13 DOI:10.1145/2737095.2742918

Brian Donovan, Yanning Li, Raphael E. Stern, Jiming Jiang, C. Claudel, D. Work

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引用次数: 5

摘要

可靠和准确的交通感知是智能交通系统(ITS)的基础，它可以缓解交通流动性和安全问题。为了促进智能交通系统技术的广泛应用，交通传感系统的快速部署和自动校准至关重要。为了开发先进的建筑区域交通传感系统，这张海报展示了我们通过被动红外(PIR)传感器数据应用信号处理和机器学习技术来检测车辆和估计交通速度的初步结果。

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Vehicle detection and speed estimation with PIR sensors

Reliable and accurate traffic sensing is the basis of Intelligent Transportation Systems (ITS), which mitigate traffic mobility and safety issues. To promote vast adoption of ITS technologies, rapid deployment and auto-calibration of traffic sensing systems are critical. Aiming at the development of an advanced traffic sensing system for construction zones, this poster presents our preliminary results for detecting vehicles and estimating traffic speeds by applying signal processing and machine learning techniques using Passive Infrared (PIR) sensor data.

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Proceedings of the 14th International Conference on Information Processing in Sensor Networks

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