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EURASIP Journal on Embedded Systems

EURASIP Journal on Embedded Systems Cover Image
Research Article
Open Access

Embedded Vehicle Speed Estimation System Using an Asynchronous Temporal Contrast Vision Sensor

  • D Bauer1Email author,
  • AN Belbachir1,
  • N Donath1,
  • G Gritsch1,
  • B Kohn1,
  • M Litzenberger1,
  • C Posch1,
  • P Schön1 and
  • S Schraml1
EURASIP Journal on Embedded Systems20072007:082174

https://doi.org/10.1155/2007/82174

©  Bauer et al. 2007

Received: 28 April 2006

Accepted: 30 October 2006

Published: 4 January 2007

Abstract

This article presents an embedded multilane traffic data acquisition system based on an asynchronous temporal contrast vision sensor, and algorithms for vehicle speed estimation developed to make efficient use of the asynchronous high-precision timing information delivered by this sensor. The vision sensor features high temporal resolution with a latency of less than 100 μ s, wide dynamic range of 120 dB of illumination, and zero-redundancy, asynchronous data output. For data collection, processing and interfacing, a low-cost digital signal processor is used. The speed of the detected vehicles is calculated from the vision sensor's asynchronous temporal contrast event data. We present three different algorithms for velocity estimation and evaluate their accuracy by means of calibrated reference measurements. The error of the speed estimation of all algorithms is near zero mean and has a standard deviation better than 3% for both traffic flow directions. The results and the accuracy limitations as well as the combined use of the algorithms in the system are discussed.

Keywords

Temporal ResolutionTraffic FlowContrast EventElectronic CircuitHigh Temporal Resolution

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Authors’ Affiliations

(1)
Austrian Research Centers GmbH - ARC, Vienna, Austria

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Copyright

© Bauer et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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