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Titlebook: Computing Systems for Autonomous Driving; Weisong Shi,Liangkai Liu Book 2021 The Editor(s) (if applicable) and The Author(s), under exclus

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樓主: Orthosis
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發(fā)表于 2025-3-26 21:47:12 | 只看該作者
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發(fā)表于 2025-3-27 02:25:58 | 只看該作者
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發(fā)表于 2025-3-27 06:56:57 | 只看該作者
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發(fā)表于 2025-3-27 09:36:48 | 只看該作者
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.
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發(fā)表于 2025-3-27 16:42:20 | 只看該作者
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發(fā)表于 2025-3-28 04:10:27 | 只看該作者
Stephan Maibaum,Markus Braun,Karel Ku?eraonment 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 [cs.DC]).
39#
發(fā)表于 2025-3-28 09:03:51 | 只看該作者
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.
40#
發(fā)表于 2025-3-28 13:41:38 | 只看該作者
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