On the Safe Road Toward Autonomous Driving: Phase Noise Monitoring in Radar Sensors for Functional Safety Compliance

计算机科学 噪音(视频) 雷达 顺从(心理学) 相位噪声 相(物质) 雷达工程细节 实时计算 电子工程 工程类 计算机视觉 电信 雷达成像 社会心理学 图像(数学) 有机化学 化学 心理学
作者
Michael Gerstmair,Alexander Melzer,Alexander Onic,Mario Huemer
出处
期刊:IEEE Signal Processing Magazine [Institute of Electrical and Electronics Engineers]
卷期号:36 (5): 60-70 被引量:17
标识
DOI:10.1109/msp.2019.2902914
摘要

The first approaches to improve vehicle safety were so-called passive safety systems, which did not directly interfere with the driving process but protected the occupants during a crash. In contrast, the first assistance system was the antilock braking system (ABS) successfully introduced in the early 1970s. This active system was developed to avoid an accident by automatically intervening in the braking behavior of the car. At about the same time, the first automotive radar prototype was presented. Since the invention of this very unwieldy radar system, organizations all around the world spent significant efforts in pushing the development of automotive radar systems forward. Today, radar sensors together with ultrasound sensors, lidar, and cameras form the backbone of advanced driver assistant systems (ADASs) as well as autonomous driving (AD), which is in the prototype stage. In particular, because of their robustness against adverse lighting and weather conditions, radar sensors are considered a key technology for modern vehicle safety and comfort systems. Along with the trend toward higher automation, more cars will be equipped with radar sensors in the near future. Because ADASs directly influence the vehicle dynamics, new regulating functional safety (FuSa) requirements, such as the ISO 26262 standard, were introduced. These requirements are mandatory to protect the road users.
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