Vision and Navigation: The Carnegie Mellon Navlab
Vision and Navigation: The Carnegie Mellon Navlab
Driving Activity: How to Improve Knowledge of the Environment
Journal of Intelligent and Robotic Systems
State Recognition in Discrete Dynamical Systems Using Petri Nets and Evidence Theory
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Dealing with uncertainty on the initial state of a petri net
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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This paper deals with a driving assistance system developed by the French ProArt group of Prometheus. The system gives advice about risks and opportunities during the driver's activity. It is composed by a perception system and a decision one. This system diagnoses the situation and determines the potential or real risks. The resulting messages are sent to the driver via a ''driver/vehicle'' interface. The perception system determines the state of our vehicle, the state of the static environment (road, lines, ...), and the state of the dynamical environment (moving obstacles, ...). The global system works out in the standard driving situations in motorway, two carriage ways and in an urban crossroad. It is embedded in a normal car (605 Peugeot of PSA).