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- W2076149701 abstract "Traffic data collection studies and management systems require accurate and cost-effective sensors for roadway volume, vehicle speed, and vehicle type classification. In this study, we compare the performance of inexpensive and non-intrusive sensing using video cameras, passive acoustic microphone arrays, active ultrasonic acoustic ranging and Doppler sensors, Doppler radar, and passive infrared sensors in these applications. Using data taken on a highway near Boston, Mass. the various sensor types are coupled with appropriate signal processing for counting, speed estimation, and vehicle type classification. Emphasis is placed on understanding the fundamental limitations of each sensor type, and an interactive system for ground-truth database construction and comparison with the detected outputs and intermediate signal processor products is described. This system is essential for understanding the reasons for the observed performance." @default.
- W2076149701 created "2016-06-24" @default.
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- W2076149701 date "1995-01-06" @default.
- W2076149701 modified "2023-09-27" @default.
- W2076149701 title "<title>Comparative study of nonintrusive traffic monitoring sensors</title>" @default.
- W2076149701 doi "https://doi.org/10.1117/12.198925" @default.
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