A neurofuzzy approach to future intelligent driver support systems

Neurofuzzy approaches to anticipation: a new paradigm for intelligent systems

Anticipatory systems are systems whose change of state is based on predictions about the future of the system and/or its environment. Planning and acting on the basis of anticipations of the future is an omnipresent feature of human control strategies, deeply permeating our daily experience; the human attribute of foresight may be considered as the hallmark of natural intelligence. Yet, as the ...

Intelligent Driver Assistance Systems

Over the past decade, the automotive industry has made many efforts to improve the comfort and first and foremost the safety of passenger cars. So-called driver assistance systems have been developed, which support the driver in his task of controlling (steering, breaking ...) a vehicle. Present-day assistance systems are entrusted with complex driving manoeuvres and are expected to operate cor...

Driver Support in Intelligent Autonomous Cruise Control

Developing Intelligent Decision Support Systems: A Bipartite Approach

The construction of an intelligent decision support system borrows concepts from two fields: software engineering and knowledge engineering. Yet the development processes of the purely technical components of the system and of the knowledge base of the DSS are very different in terms of development time, paradigms, tools, technical evolutions and the expertise required by the developer. In this...

Intelligent Decision Support Systems: A Visual Interactive Approach

Visual interactive modeling principles and modeling by example offer concrete guidelines for developing user-centered DSS generators that exploit the advantages of visual modeling while supplying active decision support through proper integration of AI techniques. Human-computer interaction remains a central issue, suggesting further research to realize a high level of human-machine cooperation...