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Detail
Journal Article
자율주행 인공지능 컴퓨팅 하드웨어 플랫폼 기술 동향
- Issue Date
- 2018-12
- Citation
- 전자통신동향분석, v.33, no.6, pp.107-117
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- Abstract
- In recent years, with the development of autonomous driving technology, high-performance artificial intelligence computing hardware platforms have been developed that can process multi-sensor data, object recognition, and vehicle control for autonomous vehicles. Most of these hardware platforms have been developed overseas, such as NVIDIA’s DRIVE PX, Audi’s zFAS, Intel GO, Mobile Eye’s EyeQ, and BAIDU’s Apollo Pilot. In Korea, however, ETRI's artificial intelligence computing platform has been developed. In this paper, we discuss the specifications, structure, performance, and development status centering on hardware platforms that support autonomous driving rather than the overall contents of autonomous driving technology.
- KSP Keywords
- Autonomous vehicle, Computing platform, Development Status, High performance, Multi-Sensor, Object Recognition, Vehicle control, artificial intelligence, autonomous driving, intelligence computing, sensor data
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
