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This paper proposes a concept of a driving support system that is adaptive to the state of surrounding vehicle drivers. This paper shows the effectiveness of the concept by a simulation study for a case that the driver support system is a rear-end pre-crash safety system and the state of surrounding vehicle drivers is the expected reaction time of the following vehicle driver. This paper also shows...
To act intelligently in dynamic environments, a system must understand the current situation it is involved in at any given time. This requires dealing with temporal context, handling multiple and ambiguous interpretations, and accounting for various sources of uncertainty. In this paper we propose a probabilistic approach to modeling and recognizing situations. We define a situation as a distribution...
A network model using Self-organizing map (SOM) and Outputs Modifiable Radial Basis Function (OMRBF) is proposed to identify acoustic fault of underwater vehicles. This model integrates unsupervised SOM with supervised OMRBF to accomplish incremental learning. The outputs neurons of this model can be modified on-line, and SOM is utilized to determine the optimal number of hidden neurons. Experiment...
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