Luisa Andreone

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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 daylight applications. In this project we have developed optimizations in order(More)
This paper presents the sub-project 3 of the AIDE (Adaptive Integrated Driver-vehicle Interface) Integrated Project; AIDE is a pan European project co-funded 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(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(More)
The increasing in-vehicle information and safety systems tend to confuse and distract the driver from his/her primary driving task. This paper develops algorithms for the real-time supervision of the traffic and environmental scenario around the vehicle for the optimization of the Human Machine Interaction. The proposed algorithms reconstruct the scenario(More)
SUMMARY 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 human-machine interaction (HMI) methodologies and technologies for the safe and efficient integration of driver assistance and information systems (including nomad devices) in future(More)