Results 21 to 30 of about 2,337 (183)
Continuous-time Radar-inertial Odometry for Automotive Radars [PDF]
We present an approach for radar-inertial odometry which uses a continuous-time framework to fuse measurements from multiple automotive radars and an inertial measurement unit (IMU). Adverse weather conditions do not have a significant impact on the operating performance of radar sensors unlike that of camera and LiDAR sensors.
Ng, Yin Zhi +3 more
openaire +2 more sources
Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors
In this tutorial paper, we systematically present the fundamental operating principles and analytical details of the discrete Fourier transform based signal processing techniques for the TDM MIMO FMCW millimeter-wave (mmWave) automotive radars.
Xinrong Li +3 more
doaj +1 more source
Automotive Radar — From First Efforts to Future Systems
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 +1 more source
Virtual reality for automotive radars [PDF]
Car manufacturers spend quite a lot on the development of driver assistance systems and subsequently on autonomous driving functionality. To ensure the safety and reliability of these functions meet industrial standards it is necessary to verify and validate their functionality.
Michael Ernst Gadringer +8 more
openaire +2 more sources
A Prototype of Automotive 77 GHz Radar
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
doaj +1 more source
CNN‐based estimation of heading direction of vehicle using automotive radar sensor
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
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
Multi-Doppler resolution automotive radar [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Oded Bialer, Sammy Kolpinizki
openaire +2 more sources
Extrapolation-RELAX Estimator Based on Spectrum Partitioning for DOA Estimation of FMCW Radar
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
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

