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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
21#
發(fā)表于 2025-3-25 03:37:52 | 只看該作者
22#
發(fā)表于 2025-3-25 09:32:45 | 只看該作者
23#
發(fā)表于 2025-3-25 12:51:54 | 只看該作者
Systems Runtime Optimization, battery powers the whole computing system, the computing system’s power dissipation can be a big issue. On the other side, there are still lots of inefficiencies in the runtime of autonomous driving applications, which makes runtime optimization become essential. In this chapter, we discuss two run
24#
發(fā)表于 2025-3-25 18:00:01 | 只看該作者
25#
發(fā)表于 2025-3-25 20:51:29 | 只看該作者
Autonomous Driving Simulators,al platform become one of the fundamental parts of conducting research and development. However, building and maintaining an autonomous driving vehicle are enormous. Therefore, lots of autonomous driving simulators have been proposed for research and development purposes. In this chapter, we start w
26#
發(fā)表于 2025-3-26 04:02:47 | 只看該作者
27#
發(fā)表于 2025-3-26 05:03:22 | 只看該作者
Smart Infrastructure for Autonomous Driving,X provides redundancy for autonomous driving workloads; it can also alleviate stress on edge computing system. We believe this is a promising approach, but the key is to identify a sweet spot between the trade-offs of fully relying on the edge computing system vs. fully relying on the V2X infrastruc
28#
發(fā)表于 2025-3-26 12:26:26 | 只看該作者
Challenges and Open Problems,llenges and open issues for the research and development of L4 or L5 autonomous driving vehicles. In this chapter, we summarize twelve remaining challenges and discuss the challenges with our visions for autonomous driving.
29#
發(fā)表于 2025-3-26 15:14:07 | 只看該作者
Systems Runtime Optimization,time optimization works. One is called E2M, which is a generalized energy-efficient middleware for autonomous mobile robots. The other is the determinism analysis of deep neural network inference for autonomous driving, which includes a comprehensive analysis of DNN inference’s time variations for typical autonomous driving system.
30#
發(fā)表于 2025-3-26 17:27:23 | 只看該作者
Autonomous Driving Simulators,e are enormous. Therefore, lots of autonomous driving simulators have been proposed for research and development purposes. In this chapter, we start with a survey of open simulators developed for autonomous driving vehicles.
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