Results 11 to 20 of about 662,591 (288)
Automotive Radar — From First Efforts to Future Systems
IEEE Journal of Microwaves, 2021 Although the beginning of research on automotive radar sensors goes back to the 1960s, automotive radar has remained one of the main drivers of innovation in millimeter wave technology over the past two decades.
Christian Waldschmidt +2 more
doaj +2 more sources
A Machine Learning Perspective on Automotive Radar Direction of Arrival Estimation
IEEE Access, 2022 Millimeter-wave sensing using automotive radar imposes high requirements on the applied signal processing in order to obtain the necessary resolution for current imaging radar.
Jonas Fuchs +4 more
doaj +2 more sources
Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. With a rising number of radar sensors and the so far unregulated automotive radar frequency band, mutual interference is inevitable and must
Johanna Rock +4 more
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Automotive Radar Multi-Frame Track-Before-Detect Algorithm Considering Self-Positioning Errors [PDF]
IEEE transactions on intelligent transportation systems (Print)This paper presents a method for the joint detection and tracking of weak targets in automotive radars using the multi-frame track-before-detect (MF-TBD) procedure. Generally, target tracking in automotive radars is challenging due to radar field of view
Wujun Li +5 more
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AutoPlace: Robust Place Recognition with Single-chip Automotive Radar [PDF]
IEEE International Conference on Robotics and Automation, 2022 This paper presents a novel place recognition approach to autonomous vehicles by using low-cost, single-chip automotive radar. Aimed at improving recognition robustness and fully exploiting the rich information provided by this emerging automotive radar,
Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu
openalex +3 more sources
Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges. [PDF]
Front Neurosci, 2022 Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light conditions.
Vogginger B +14 more
europepmc +2 more sources
IEEE Access, 2021 Radar sensors are gradually becoming a wide-spread equipment for road vehicles, playing a crucial role in autonomous driving and road safety. The broad adoption of radar sensors increases the chance of interference among sensors from different vehicles ...
Nicolae-Catalin Ristea +2 more
doaj +1 more source
Ground Reflection-Based Misalignment Detection of Automotive Radar Sensors
IEEE Access, 2023 In this paper, we propose a method for detecting the misalignment of automotive radar sensors. Ensuring the accurate operation of automotive radar sensors is essential for the safety of drivers and passengers.
Chanul Park, Seongwook Lee
doaj +1 more source
Overview of Signal Processing Techniques for Automotive Millimeter-wave Radar
Leida xuebao, 2023 As one of the core components of Advanced Driver Assistance Systems (ADAS), automotive millimeter-wave radar has become the focus of scholars and manufacturers at home and abroad because it has the advantages of all-day and all-weather operation ...
Yan HUANG +15 more
doaj +1 more source
A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving. [PDF]
Sensors (Basel), 2022 Radar sensors were among the first perceptual sensors used for automated driving. Although several other technologies such as lidar, camera, and ultrasonic sensors are available, radar sensors have maintained and will continue to maintain their ...
Magosi ZF +4 more
europepmc +2 more sources