RT Journal Article
T1 Distributed pedestrian detection alerts based on data fusion with accurate localization
A1 García Fernández, Fernando
A1 Jiménez, Felipe
A1 Anaya, José Javier
A1 Armingol Moreno, José María
A1 Naranjo, J.E.
A1 Escalera Hueso, Arturo de la
AB Among Advanced Driver Assistance Systems (ADAS) pedestrian detection is a common issue due to the vulnerability of pedestrians in the event of accidents. In the present work, a novel approach for pedestrian detection based on data fusion is presented. Data fusion helps to overcome the limitations inherent to each detection system (computer vision and laser scanner) and provides accurate and trustable tracking of any pedestrian movement. The application is complemented by an efficient communication protocol, able to alert vehicles in the surroundings by a fast and reliable communication. The combination of a powerful location, based on a GPS with inertial measurement, and accurate obstacle localization based on data fusion has allowed locating the detected pedestrians with high accuracy. Tests proved the viability of the detection system and the efficiency of the communication, even at long distances. By the use of the alert communication, dangerous situations such as occlusions or misdetections can be avoided.
PB MDPI Publishing
SN 1424-8220
YR 2013
FD 2013-09-01
LK https://hdl.handle.net/10016/23668
UL https://hdl.handle.net/10016/23668
LA eng
NO This work was supported by the Spanish Government through the Cicyt projects (GRANT TRA2010-20225-C03-01, GRANT TRA2010-20225-C03-03, GRANT TRA 2011-29454-C03-02 and iVANET TRA2010-15645) and CAM through SEGVAUTO-II (S2009/DPI-1509).
DS e-Archivo
RD 18 may. 2024