A Review of Intelligent Self-Driving Vehicle Software Research

• Jeonghwan Gwak,
• Juho Jung,
• RyumDuck Oh,
• Manbok Park,
• Mukhammad Abdu Kayumbek Rakhimov,
• Junho Ahn,

Vol. 13, No. 11, November 30, 2019
10.3837/tiis.2019.11.002, Download Paper (Free):

• Self-driving vehicle
• Road infrastructure
• Deep Learning
• Machine Learning
• Localization

Abstract

Interest in self-driving vehicle research has been rapidly increasing, and related research has been continuously conducted. In such a fast-paced self-driving vehicle research area, the development of advanced technology for better convenience safety, and efficiency in road and transportation systems is expected. Here, we investigate research in self-driving vehicles and analyze the main technologies of driverless car software, including: technical aspects of autonomous vehicles, traffic infrastructure and its communications, research techniques with vision recognition, deep leaning algorithms, localization methods, existing problems, and future development directions. First, we introduce intelligent self-driving car and road infrastructure algorithms such as machine learning, image processing methods, and localizations. Second, we examine the intelligent technologies used in self-driving car projects, autonomous vehicles equipped with multiple sensors, and interactions with transport infrastructure. Finally, we highlight the future direction and challenges of self-driving vehicle transportation systems.

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