RT Conference Proceedings
T1 Data Fusion for Overtaking Vehicle Detection Based on Radar and Optical Flow
A1 García, Fernando
A1 Cerri, Pietro
A1 Broggi, Alberto
A1 Escalera Hueso, Arturo de la
A1 Armingol Moreno, José María
AB Trustworthiness is a key point when dealing with vehicle safety applications. In this paper an approach to a real application is presented, able to fulfill the requirements of such demanding applications. Most of commercial sensors available nowadays are usually designed to detect front vehicles but lack the ability to detect overtaking vehicles. The work presented here combines the information provided by two sensors, a Stop&Go radar and a camera. Fusion is done by using the unprocessed information from the radar and computer vision based on optical flow. The basic capabilities of the commercial systems are upgraded giving the possibility to improve the front vehicles detection system, by detecting overtaking vehicles with a high positive rate.
PB IEEE
YR 2012
FD 2012-06-03
LK https://hdl.handle.net/10016/23609
UL https://hdl.handle.net/10016/23609
LA eng
NO This work was supported by the Spanish Governmentthrough the Cicyt projects FEDORA (GRANT TRA2010-20225-C03-01) and D3System (TRA2011-29454-C03-02).BRAiVE prototype has been developed in the frameworkof the Open intelligent systems for Future AutonomousVehicles (OFAV) Projects funded by the European ResearchCouncil (ERC) within an Advanced Investigation Grant
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RD 18 jul. 2024