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Sensors 2010, 10(1), 860-875; doi:10.3390/s100100860

Vision-Based Traffic Data Collection Sensor for Automotive Applications

Electronics Department, University of Alcalá, Polytechnic School, University Campus, Alcalá de Henares, Madrid 28871, Spain
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Received: 1 December 2009 / Revised: 19 January 2010 / Accepted: 20 January 2010 / Published: 22 January 2010

Abstract

This paper presents a complete vision sensor onboard a moving vehicle which collects the traffic data in its local area in daytime conditions. The sensor comprises a rear looking and a forward looking camera. Thus, a representative description of the traffic conditions in the local area of the host vehicle can be computed. The proposed sensor detects the number of vehicles (traffic load), their relative positions and their relative velocities in a four-stage process: lane detection, candidates selection, vehicles classification and tracking. Absolute velocities (average road speed) and global positioning are obtained after combining the outputs provided by the vision sensor with the data supplied by the CAN Bus and a GPS sensor. The presented experiments are promising in terms of detection performance and accuracy in order to be validated for applications in the context of the automotive industry. View Full-Text
Keywords: automotive sensor; vehicle detection; computer vision; distance accuracy automotive sensor; vehicle detection; computer vision; distance accuracy
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Llorca, D.F.; Sánchez, S.; Ocaña, M.; Sotelo, M.A. Vision-Based Traffic Data Collection Sensor for Automotive Applications. Sensors 2010, 10, 860-875.

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