Results 11 to 20 of about 40,448 (214)
Interference Analysis for mmWave Automotive Radar Considering Blockage Effect [PDF]
Sensors, 2021 Due to the increasing number of vehicles equipped with millimeter wave (mmWave) radars, interference among automotive radars is becoming a major issue. This paper explores the automotive radar interference in both two-lane and multi-lane scenarios using ...
Liping Kui, Sai Huang, Zhiyong Feng
doaj +2 more sources
Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network [PDF]
SensorsIn advanced driver-assistance systems (ADASs), the misalignment of the mounting angle of the automotive radar significantly affects the accuracy of object detection and tracking, impacting system safety and performance.
Sunghoon Moon, Younglok Kim
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A Prototype of Automotive 77 GHz Radar
Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. Automotive radars are the main tools for providing traffic safety. The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards.
O. I. Bureneva +5 more
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CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
, 2021 High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be combined. Currently, mostly cameras and laser scanners (lidar) are deployed
Newson, A. +4 more
core +2 more sources
CNN‐based estimation of heading direction of vehicle using automotive radar sensor
IET Radar, Sonar & Navigation, 2021 Modern autonomous vehicles are being equipped with various automotive sensors to perform special functions. Especially, it is important to predict the heading direction of the front vehicle to adjust the speed of the ego‐vehicle and select appropriate ...
Sohee Lim +4 more
doaj +1 more source
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 +1 more source
People Walking Classification Using Automotive Radar [PDF]
Electronics, 2020 Automotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s movements in a real context.
Linda Senigagliesi +3 more
openaire +1 more source
Extrapolation-RELAX Estimator Based on Spectrum Partitioning for DOA Estimation of FMCW Radar
IEEE Access, 2019 This paper proposes an extrapolation-RELAX estimator based on spectrum partitioning (SP) for the direction of arrival (DOA) estimation of frequency-modulated continuous-wave (FMCW) radar.
Sangdong Kim +3 more
doaj +1 more source
Practical classification of different moving targets using automotive radar and deep neural networks [PDF]
, 2018 In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks.
Angelov, Aleksandar +3 more
core +1 more source
The Journal of Engineering, 2019 Modern radar applications, such as automotive, integration of radar and communications, have become an important requirement. Systems able to provide joint radar and communications would exploit the same hardware while providing enhanced capabilities to ...
Pasquale Striano +3 more
doaj +1 more source