Real Time Environmental and Traffic Supervision for Adaptive Interfaces in Intelligent Vehicles
| Authors: | Polychronopoulos Aris, ICCS, Greece
Amditis Angelos, ICCS, Greece
Andreone Luisa, Centro Ricerche Fiat, Italy |
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| Topic: | 4.1 Components and Instruments |
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| Session: | Adaptive Integrated Driver-Vehicle Interface-AIDE |
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| Keywords: | Kalman filter, evidence theory, adaptive systems, trajectories, decision fusion, risk assessment, intelligent systems |
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Abstract
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 using stochastic motion models and Kalman filters, predict the intention of the driver using Demspter-Shafer decision fusion and calculate the level of risk in a deterministic way. The algorithms will be part of the Driver – Environment – vehicle state estimation in AIDE Integrated project
