Research on the Method for Intelligent Autonomous Vehicle to Distinguish the Road in Virtual Traffic Environment

Abstract:

This paper studied how to build the intelligent autonomous vehicle in driving simulation system and let it distinguish the traffic road in virtual traffic environment based on Eon Studio. The method of using the database to store the information of virtual traffic roads was proposed. The result illustrated that by this means the intelligent autonomous vehicle could distinguish the complex traffic network accurately in the virtual traffic environment, which enhanced responsivity and stability of the driving simulation system and created a more realistic driving environment for users.

• Periodical: Applied Mechanics and Materials (Volumes 249-250)
• Pages: 1228-1233
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.249-250.1228
• Online since: December 2012
• Authors: Nan Yue Yang
• Keywords: EON Studio, Intelligent Autonomous Vehicle, Virtual Driving, Virtual Traffic Environment

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