RT Conference Proceedings
T1 Computer vision and laser scanner road environment perception
A1 García, Fernando
A1 Ponz Vila, Aurelio
A1 Martín Gómez, David
A1 Escalera Hueso, Arturo de la
A1 Armingol Moreno, José María
AB Data fusion procedure is presented to enhance classical Advanced Driver Assistance Systems (ADAS). The novel vehicle safety approach, combines two classical sensors: computer vision and laser scanner. Laser scanner algorithm performs detection of vehicles and pedestrians based on pattern matching algorithms. Computer vision approach is based on Haar-Like features for vehicles and Histogram of Oriented Gradients (HOG) features for pedestrians. The high level fusion procedure uses Kalman Filter and Joint Probabilistic Data Association (JPDA) algorithm to provide high level detection. Results proved that by means of data fusion, the performance of the system is enhanced.
PB IEEE
SN 978-953-184-191-7
YR 2014
FD 2014-05-12
LK https://hdl.handle.net/10016/23645
UL https://hdl.handle.net/10016/23645
LA eng
NO This work was supported by the Spanish Governmentthrough the Cicyt projects (GRANT TRA2010-20225-C03-01)and (GRANT TRA 2011-29454-C03-02). CAM throughSEGAUTO-II (S2009IDPI-1509) .
DS e-Archivo
RD 17 jul. 2024