Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions

In a level-5 autonomous driving system, the autonomous driving vehicles (AVs) are expected to sense the surroundings via analyzing a large amount of data captured by a variety of onboard sensors in near-real-time. As a result, enormous computing costs will be introduced to the AVs for processing the...

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Veröffentlicht in:	IEEE wireless communications Jg. 28; H. 2; S. 40 - 47
Hauptverfasser:	Yang, Bo, Cao, Xuelin, Xiong, Kai, Yuen, Chau, Guan, Yong Liang, Leng, Supeng, Qian, Lijun, Han, Zhu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	6G mobile communication Artificial neural networks Autonomous vehicles Computational modeling Computing costs Edge computing Inference Intelligence Machine learning Mixed integer Mobile computing Model accuracy Neural networks Nonlinear programming Real time Resource allocation Segmentation Sensor systems Servers Vehicles Wireless communication Wireless sensor networks
ISSN:	1536-1284, 1558-0687
Online-Zugang:	Volltext
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