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Autonomous Driver Based on an Intelligent System of Decision-Making

Abstract

The paper presents and discusses a system (xDriver) which uses an Intelligent System of Decision-making (ISD) for the task of car driving. The principal subject is the implementation, simulation and testing of the ISD system described earlier in our publications for the task of autonomous driving. The design of the whole ISD system is a result of a thorough modelling of human psychology based on an extensive literature study. Concepts somehow similar to the ISD system can be found in the literature, but there are no reports of a system which would model the human psychology for the purpose of autonomously driving a car. The paper describes assumptions for simulation, the set of needs and reactions (characterizing the ISD system), the road model and the vehicle model, as well as presents some results of simulation. It proves that the xDriver system may behave on the road as a very inexperienced driver.

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Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Cognitive Computation no. 7, edition 5, pages 569 - 581,
ISSN: 1866-9956
Language:
English
Publication year:
2015
Bibliographic description:
Czubenko M., Kowalczuk Z., Ordys A.: Autonomous Driver Based on an Intelligent System of Decision-Making// Cognitive Computation. -Vol. 7, iss. 5 (2015), s.569-581
DOI:
Digital Object Identifier (open in new tab) 10.1007/s12559-015-9320-5
Verified by:
Gdańsk University of Technology

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