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Vision-Based Traffic Data Collection Sensor for Automotive Applications
Electronics Department, University of Alcalá, Polytechnic School, University Campus, Alcalá de Henares, Madrid 28871, Spain
* Author to whom correspondence should be addressed.
Received: 1 December 2009; in revised form: 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.
Keywords: automotive sensor; vehicle detection; computer vision; distance accuracy
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Cite This Article
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.
Llorca DF, Sánchez S, Ocaña M, Sotelo MA. Vision-Based Traffic Data Collection Sensor for Automotive Applications. Sensors. 2010; 10(1):860-875.
Llorca, David F.; Sánchez, Sergio; Ocaña, Manuel; Sotelo, Miguel. A. 2010. "Vision-Based Traffic Data Collection Sensor for Automotive Applications." Sensors 10, no. 1: 860-875.