For high-level automated driving, radar data is used In object detection, object tracking, motion prediction, and self-localization. For low-level automated driving, radar data have been widely used In advanced driving-assistance systems (ADAS). Secondly, we present radar-based applications used on AVs. First, we introduce models and representations from millimeter-wave (MMW) radar data. Therefore, we try to provide related survey In this paper. Although several published research papers focus on MMW Radars for intelligent vehicles, no general survey on deep learning applied In radar data for autonomous vehicles exists. The objective of this study is to present an overview of the state-of-the-art radar-based technologies applied In AVs. Radar can provide different data types to satisfy requirements for various levels of autonomous driving. Among the commonly used sensors, MMW radar plays an important role due to its low cost, adaptability In different weather, and motion detection capability. With the rapid development of automated vehicles (AVs), more and more demands are proposed towards environmental perception.

Net radar segment