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Conference Paper
Development of Software Platform for Autonomous Driving System
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- Authors
- Yongbon Koo, SungHoon Kim
- Issue Date
- 2018-05
- Citation
- IEMEK Symposium on Embedded Technology (ISET) 2018, pp.1-2
- Publisher
- 대한임베디드공학회
- Language
- English
- Type
- Conference Paper
- Abstract
- In this study, we introduce driving computing software platform -Linux-based software platform for the autonomous driving system development. It supports image processing libraries, inter-task communication libraries, parallel acceleration libraries, and deep learning frameworks. These libraries are all consolidated in the driving computing hardware. The driving computing software platform provides easy methods for the development and integration of various components that are essential to artificial intelligence (AI) systems.
- KSP Keywords
- Autonomous driving system, Communication library, Deep learning framework, Development of software, Image processing(IP), artificial intelligence, deep learning(DL), inter-task communication, parallel acceleration, software platform, system development