RT Conference Proceedings
T1 Novel method for vehicle and pedestrian detection based on information fusion
A1 García, Fernando
A1 Escalera Hueso, Arturo de la
A1 Armingol Moreno, José María
AB 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.
PB Springer
SN 978-3-319-02331-1
SN 2213-8986
YR 2013
FD 2013-03-11
LK https://hdl.handle.net/10016/18980
UL https://hdl.handle.net/10016/18980
LA eng
NO This work was supported by the Spanish Government through the Cicytprojects (GRANT TRA2010-20225-C03-01) and (GRANT TRA 2011-29454-C03-02). CAMthrough SEGAUTO-II (S2009/DPI-1509).
DS e-Archivo
RD 18 jul. 2024