Luisa Andreone

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Path prediction is the only way that an active safety system can predict a driver's intention. In this paper, a model-based description of the traffic environment is presented - both vehicles and infrastructure - in order to provide, in real time, sufficient information for an accurate prediction of the ego-vehicle's path. The proposed approach is a(More)
The general objective of the AIDE (Adaptive Integrated Driver-vehicle InterfacE) Integrated Project, funded within the EU 6:th Framework Programme (FP6), is to develop humanmachine interaction (HMI) methodologies and technologies for the safe and efficient integration of driver assistance and information systems (including nomad devices) in future vehicles.(More)
The Adaptive Integrated Driver-vehicle interfacE (AIDE) is an integrated project funded by the European Commission in the Sixth Framework Programme. The project, which involves 31 partners from the European automotive industry and academia, deals with behavioral and technical issues related to automotive human-machine interface (HMI) design, with a(More)
Accidents occurring at night represent a significant part of the total number of road fatalities. Thus, intelligent systems for supporting the driver during night promise to have a significant impact on traffic safety. In particular, the second generation of such systems provide semantic, symbolic information in order to effectively draw the driver's(More)
The paper proposes for the first time a generic solution - open architecture - for intelligent vehicles that allow the harmonization of the increasing information flow provided by onboard functions to the driver. The so-called AIDE architecture tackles the problem in a holistic way, by handling in-vehicle information and advanced driver assistance systems,(More)
This paper describes the algorithms we developed for a new automotive night vision system for pedestrian detection based on near infrared (NIR) illuminators and sensors. The system applies in the night domain the SVM technique, which has already been successfully implemented in day-light applications, in this project we have developed optimizations in order(More)
WATCH-OVER is a European Specific Targeted project co-funded by the European Commission Information Society and Media within the initiatives of the cooperative systems for traffic safety and efficiency based on communication and sensor technologies. The project, supported by EUCAR and coordinated by Centro Ricerche Fiat, includes in its consortium vehicle(More)
Situation and threat assessment is considered as the highest level of abstraction in the vehicle tracking processes. In this paper, a broad discussion is introduced on algorithms for active safety functions, whilst a new dynamic algorithm is proposed. This approach handles all objects' states as dynamic stochastic variables and based on a Kalman approach(More)
This paper presents the sub-project 3 of the AIDE (Adaptive Integrated Driver-vehicle Interface) Integrated Project; AIDE is a pan European project cofunded by the European Commission, coordinated by Volvo Technology and managed by a core group with the participation of both the industry (Bosch, CRF, PSA, and BMW) and the academia (ICCS, TNO, Joint Research(More)
This paper presents the principle of the design of the “intelligent core” of next generation driver vehicle interaction systems towards the objective to obtain a safe and sustainable mobility. Mobility in the future has to be characterised by a reduction both in number and in severity of accidents, has to facilitate the movement of every user and should be(More)