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Autonomous Driver Based on an Intelligent System of Decision-Making
Michał Czubenko1, Zdzisław Kowalczuk1, Andrew Ordys2
1Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland.
Cognitive Computation
|September 19, 2015
Summary
The xDriver system simulates autonomous driving using an Intelligent System of Decision-making (ISD) based on human psychology. Simulations show the system can drive like an inexperienced human driver.
Area of Science:
- Artificial Intelligence
- Robotics
- Cognitive Science
Background:
- Autonomous driving systems require sophisticated decision-making capabilities.
- Existing systems often lack human-like psychological modeling for driving.
- The Intelligent System of Decision-making (ISD) offers a novel approach.
Purpose of the Study:
- To implement, simulate, and test the xDriver system for autonomous car driving.
- To evaluate an ISD system based on human psychological modeling.
- To assess the driving behavior of the xDriver system.
Main Methods:
- Development of the xDriver system incorporating an ISD.
- Modeling human psychology based on extensive literature.
- Simulation using defined road and vehicle models.
- Analysis of system needs and reactions.
Main Results:
- The xDriver system was successfully implemented and simulated.
- The system's behavior was evaluated under simulated driving conditions.
- Simulation results indicate the xDriver can exhibit inexperienced driver characteristics.
Conclusions:
- The xDriver system, based on psychological modeling, is a viable approach for autonomous driving.
- Further development is needed to refine the system's driving proficiency.
- The study demonstrates the potential of ISD in emulating human driving behavior.
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