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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE wireless communications Ročník 28; číslo 2; s. 40 - 47
Hlavní autori:	Yang, Bo, Cao, Xuelin, Xiong, Kai, Yuen, Chau, Guan, Yong Liang, Leng, Supeng, Qian, Lijun, Han, Zhu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!