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Titlebook: Creating Autonomous Vehicle Systems; Shaoshan Liu,Liyun Li,Jean-Luc Gaudiot Book 2018 Springer Nature Switzerland AG 2018

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發(fā)表于 2025-3-26 23:08:55 | 只看該作者
32#
發(fā)表于 2025-3-27 01:47:30 | 只看該作者
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發(fā)表于 2025-3-27 08:15:28 | 只看該作者
Web Component Development with Zope 3 avoiding the need for traditional pipelines that extract manually designed features plus subsequent classification or regression steps. In this chapter, we will cover selected deep-learning-based algorithms for perception in autonomous driving.
34#
發(fā)表于 2025-3-27 10:23:52 | 只看該作者
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發(fā)表于 2025-3-27 15:49:18 | 只看該作者
Deep Learning in Autonomous Driving Perception, avoiding the need for traditional pipelines that extract manually designed features plus subsequent classification or regression steps. In this chapter, we will cover selected deep-learning-based algorithms for perception in autonomous driving.
36#
發(fā)表于 2025-3-27 21:51:49 | 只看該作者
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發(fā)表于 2025-3-28 01:41:21 | 只看該作者
1932-1228 their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cl
38#
發(fā)表于 2025-3-28 02:06:05 | 只看該作者
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