Results 21 to 30 of about 40,798 (205)
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
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 +3 more sources
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
Millimeter-Wave Automotive Radar Spoofing
CoRR, 2022 Millimeter-wave radar systems are one of the core components of the safety-critical Advanced Driver Assistant System (ADAS) of a modern vehicle. Due to their ability to operate efficiently despite bad weather conditions and poor visibility, they are often the only reliable sensor a car has to detect and evaluate potential dangers in the surrounding ...
Mihai Ordean, Flavio D. Garcia
openaire +2 more sources
Binary-Phase vs. Frequency Modulated Radar Measured Performances for Automotive Applications
Sensors, 2023 Radars have been widely deployed in cars in recent years, for advanced driving assistance systems. The most popular and studied modulated waveform for automotive radar is the frequency-modulated continuous wave (FMCW), due to FMCW radar technology’s ease
Mattia Caffa +2 more
doaj +1 more source
People tracking by cooperative fusion of RADAR and camera sensors [PDF]
, 2019 Accurate 3D tracking of objects from monocular camera poses challenges due to the loss of depth during projection. Although ranging by RADAR has proven effective in highway environments, people tracking remains beyond the capability of single sensor ...
Dimitrievski, Martin +3 more
core +2 more sources
Inter-radar interference analysis of FMCW radars with different chirp rates
The Journal of Engineering, 2019 Millimetre-wave frequency-modulated continuous wave (FMCW) radar is expected to be widely deployed for advanced driver assistance systems (ADAS) and self-driving cars. Considering that automotive radars will be deployed in a huge number of cars in future,
Yuya Makino +5 more
doaj +1 more source
Sensors, 2023 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 +1 more source
Mitigation of automotive radar interference
2018 IEEE Radar Conference (RadarConf18), 2018 This paper presents a new approach to mitigating radar interference and focuses on the application of automotive radar. Traditional interference mitigation techniques in automotive radar depend on detection and identification of the interference. With this paper, we propose a novel method based on advanced signal separation techniques which do not need
Uysal, Faruk (author) +1 more
openaire +3 more sources
Super-Resolution in Automotive Pulse Radars
IEEE Journal of Selected Topics in Signal Processing, 2021 In this work we consider a mmWave pulse radar and study the problem of super-resolving the echoes produced by multiple prospective targets. We derive a novel signal model wherein an observed echo is represented in term of a conveniently-structured steering vector and its associated multi-dimensional frequency vector related to the target location; we ...
Adrián Vega Delgado +3 more
openaire +3 more sources