RT Conference Proceedings
T1 Context Aided Multilevel Pedestrian Detection
A1 García, Fernando
A1 Escalera Hueso, Arturo de la
A1 Armingol Moreno, José María
AB Abstract: The proposed work, depicts a novel algorithm able to provide multiple pedestrian detection, based on the use of classical sensors in modern automotive application and context information. The work takes advantage of the use of Joint Probabilities Data Association (JPDA) and context information to enhance the classic performance of the pedestrian detection algorithms. The combination of the different information sources with powerful tracking algorithms helps to overcome the difficulties of this processes, providing a trustable tool that improves performance of the single sensor detection algorithms. Context in a rich information source, able to improve the fusion process in all levels by the use of a priori knowledge of the application. In the present work multilevel fusion solution is provided for road safety application. Context is used in all the fusion levels, helping to improve the perception of the road environment and the relations among detections. By the fusion of all information sources, accurate and trustable detection is provided and complete situation assessment obtained, with estimation of the danger that involves any detection.
PB IEEE
SN 978-605-86311-1-3
YR 2013
FD 2013
LK https://hdl.handle.net/10016/23627
UL https://hdl.handle.net/10016/23627
LA eng
NO This work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03-01) and (GRANT TRA 2011-29454-C03-02). CAM through SEGVAUTO-II ( S2009/DPI-1509).
DS e-Archivo
RD 17 jul. 2024