彩色的蜡笔 发表于 2025-3-26 21:47:12

http://reply.papertrans.cn/24/2348/234756/234756_31.png

chuckle 发表于 2025-3-27 02:25:58

http://reply.papertrans.cn/24/2348/234756/234756_32.png

繁重 发表于 2025-3-27 06:56:57

http://reply.papertrans.cn/24/2348/234756/234756_33.png

Cultivate 发表于 2025-3-27 09:36:48

https://doi.org/10.1007/3-540-33523-4s CLONE, which is a collaborative learning setting on the edges (CLONE) which is able to mainly demonstrate the effectiveness of latency reduction and privacy-preserving. The other is pBEAM, which is a collaborative cloud-edge computation system for personalized driving behavior modeling.

resistant 发表于 2025-3-27 16:42:20

http://reply.papertrans.cn/24/2348/234756/234756_35.png

MILK 发表于 2025-3-27 21:37:55

http://reply.papertrans.cn/24/2348/234756/234756_36.png

学术讨论会 发表于 2025-3-27 23:21:15

http://reply.papertrans.cn/24/2348/234756/234756_37.png

不幸的人 发表于 2025-3-28 04:10:27

Stephan Maibaum,Markus Braun,Karel Kučeraonment is too complicated for current autonomous driving computing systems to understand and handle. This chapter present state-of-the-art computing systems for autonomous driving, followed seven performance metrics and nine key technologies (Liu et al., IEEE Internet Things J, 2020. arXiv:2009.14349v3 ).

Proponent 发表于 2025-3-28 09:03:51

Therapielexikon der Sportmedizin this chapter, we first discuss then innovations on the V2X infrastructure and cooperative autonomous driving. Then we present the performance comparison of V2X communications based on a vehicle edge computing prototype.

defray 发表于 2025-3-28 13:41:38

http://reply.papertrans.cn/24/2348/234756/234756_40.png
页: 1 2 3 [4] 5
查看完整版本: Titlebook: Computing Systems for Autonomous Driving; Weisong Shi,Liangkai Liu Book 2021 The Editor(s) (if applicable) and The Author(s), under exclus