Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars
In this paper, we propose a parameter estimation method for multiple-input-multiple-output (MIMO) automotive radars that consists of two stages. The first stage is a low-complexity three-dimensional (3D) constant false alarm rate (CFAR) detection ...
Yu-Chien Lin, Ta-Sung Lee
exaly +3 more sources
Automotive Radar Range Spectrum-Based Road Surface Classification by Using Machine Learning [PDF]
The awareness of different road surface types is crucial for the safe operation of automated vehicles in on- and off-road modes. This paper focuses on the classification of different road surface types using automotive radar and Machine Learning (ML ...
Hima Dominic +2 more
doaj +2 more sources
A Modulated Approach for Improving MFSK RADARS to Resolve Mutual Interference on Autonomous Vehicles (AVs) [PDF]
This paper proposes a novel automotive radar waveform involving the theory behind M-ary frequency shift key (MFSK) radar systems. Along with the MFSK theory, coding schemes are studied to provide a solution to mutual interference.
Jonathan Duke, Eli Neville, Jorge Vargas
doaj +2 more sources
Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network [PDF]
In 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
doaj +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
Interference Analysis for mmWave Automotive Radar Considering Blockage Effect
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 +1 more source
On the Accuracy of Automotive Radar Tracking
Radar has become a key sensor in many advanced driver assistance systems (ADAS). Due to its excellent range and Doppler resolution, low cost, and robustness against environmental conditions, it is considered an attractive sensor for detecting and tracking vulnerable road users (VRUs).
Lennert Jacobs +3 more
openaire +2 more sources
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
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
Automotive radar interference study for different radar waveform types
Mutual interference between different radar waveforms used in automotive radar applications is studied. The existing interference analysis is extended to a generalised radar‐to‐radar interference equation that covers most of the common interference ...
Utku Kumbul +3 more
doaj +1 more source

