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Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors]
IEEE Signal Processing Magazine ( IF 14.9 ) Pub Date : 2020-07-01 , DOI: 10.1109/msp.2020.2990330
Lina J. Karam , Jay Katupitiya , Vicente Milanes , Ioannis Pitas , Jieping Ye

The articles in this special section were focused on the current state of the art as well as emerging trends in the design, development, and deployment of sensing and perception technologies for autonomous and automated driving. Such technologies include camera, ultrasound, Global Navigation Satellite System-, lidar-, and radar-based platforms integrat ing signa l processing components to process the acquired data and extract information to be used for recognition, navigation, and situational awareness. Despite recent advances in such sensing platforms, the performance of these sensors can be significantly constrained by their quality–cost tradeoff, excessive energy consumpt ion, and inconsistency under varying environmental conditions.

中文翻译:

自动驾驶:第 1 部分-感知和感知 [来自客座编辑]

本专题中的文章侧重于自动驾驶和自动驾驶传感和感知技术的设计、开发和部署的当前技术水平以及新兴趋势。此类技术包括相机、超声波、全球导航卫星系统、激光雷达和基于雷达的平台,这些平台集成了信号处理组件以处理获取的数据并提取用于识别、导航和态势感知的信息。尽管此类传感平台最近取得了进展,但这些传感器的性能仍会受到质量与成本权衡、过度能量消耗以及不同环境条件下的不一致的严重限制。
更新日期:2020-07-01
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