Modern information technology such as sensors and communication devices may be used to obtain information about the environment of a car. To protect the driver from information overload, an assistant system should filter and - at least to some extent - interpret this information. The task of a driver assistant system is to pass only relevant information to the driver e.g. information about dangerous situations. Among others, the following questions arise in this context: What kind of information (content, quality, quantity) is necessary to recognize hazardous situations? What facts and interrelations between them may be derived from the given information? What is an appropriete reaction, when the assistant system recognizes a hazardous situation? This paper presents a knowledge-based simulation system for investigating these questions. It can be used for developing and testing strategies and methods of intelligent driver assistant systems. The highly interactive simulation system embodies a traffic environment, cars, sensors, a simple driver model and the possibility to specify an assistant system by combining rules and functions for information processing. The system allows the user to change the parameters of the simulation models or to replace entire models with relativly small effort.
Developing intelligent driver assistant systems in a knowledge based testbed
Entwicklung eines intelligenten Fahrerassistenzsystems am wissensbasierten Prüfstand
1992
8 Seiten, 3 Bilder, 7 Quellen
Aufsatz (Konferenz)
Englisch
Developing intelligent driver assistant systems in a knowledge based testbed
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