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Novel method for vehicle and pedestrian detection based on information fusion

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URI: http://hdl.handle.net/10016/18980
ISSN: 2213-8986
ISBN: 978-3-319-02331-1
DOI: 10.1007/978-3-319-02332-8_8
UXXI: CC/0000019337
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novel_ITRAW_2014_ps.pdf (646.4 KB)
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2013-03-11
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Springer
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A novel approach for vehicle and pedestrian detection based on data fusion techniques is presented. The work fuses information from a 2D laser scanner and a computer camera, to provide detection and classification of vehicles and pedestrians in road environments. Thanks to the data fusion approach, the limitations of each sensor are overcome. Thus reliable system is provided, fulfilling the demands of road safety applications. Classification is performed using each sensor independently. Laser scanner approach is based in pattern matching and vision approach is based in the classical Histogram of Oriented Gradients features approach. A higher stage performs data fusion using Kalman Filter and Global Nearest Neighbors.
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User Interfaces, Human Computer Interaction, Robotics, Automation, Energy efficiency
Bibliographic citation
International technology robotics applications: Proceedings of the 2nd INTERA Conference, held in Oviedo, Spain, March 2013. Part III. : Springer, 2014, pp. 79-88
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DISA - LSI - Artículos en Congresos Internacionales