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Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]
IEEE Signal Processing Magazine ( IF 14.9 ) Pub Date : 2020-12-24 , DOI: 10.1109/msp.2020.3033086
Lina J. Karam , Jay Katupitiya , Vicente Milanes , Ioannis Pitas , Jieping Ye

This special issue covering autonomous driving is presented in two parts: Part 1—Sensing and Perception was published in the July 2020 issue of IEEE Signal Processing Magazine and this issue, Part 2—Learning and Cognition. Learning and cognition models and, in particular, deep learning-based models are at the core of autonomous vehicles and automated driving. Autonomous driving and, more generally, automated driving are receiving increasing attention, and significant resources are being deployed to enable safe, reliable, and efficient automated mobility in real-world environments.

中文翻译:

自动驾驶:第2部分:学习与认知[来自客座编辑]

涵盖自动驾驶的这一特殊问题分为两个部分:第1部分(传感和感知)发表在2020年7月的IEEE信号处理杂志上,第2部分(学习与认知)。学习和认知模型,尤其是基于深度学习的模型是自动驾驶汽车和自动驾驶的核心。自动驾驶以及更普遍的自动驾驶受到越来越多的关注,并且正在部署大量资源以在现实环境中实现安全,可靠和高效的自动移动性。
更新日期:2020-12-25
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