JOURNAL ARTICLE

Virtual reality based intelligent vehicle modeling in driving SIMULATION system

Abstract

The driving intelligence of the virtual intelligent vehicle in the driving simulation system is crucial to the system's sense of reality and the reliability of the experiment. This paper focuses on the features and functionality of the virtual intelligent vehicle in driving simulation system. Intelligent vehicle should first distinguish the roadway network in order to drive correctly along a certain path. Then the intelligent vehicle should be able to obtain the traffic information efficiently and to execute the decision-making process to response to the changing driving environment. This paper describes a method to construct the virtual intelligent vehicle using database technology and the collision detection algorithm. The experiment result illustrates that the virtual intelligent vehicles in virtual traffic environment can simulate the human vision genuinely and exhibit human-like driving behavior. The virtual intelligent vehicle can still keep the correctness and the efficiency in a comparatively complex traffic environment, also the stability of the system is satisfied

Keywords:
Correctness Virtual reality Computer science Intelligent transportation system Process (computing) Construct (python library) Driving simulator Virtual machine Intelligent decision support system Intelligent control Simulation Human–computer interaction Artificial intelligence Engineering Computer network

Metrics

4
Cited By
1.81
FWCI (Field Weighted Citation Impact)
6
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation and Modeling Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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