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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
An Improved Performance Radar Sensor for K-Band Automotive Radars
Sensors, 2023 This paper presents a new radar sensor configuration of a planar grid antenna array (PGAA) for automotive ultra-wideband (UWB) radar applications. For system realisation, the MIMO concept is adopted. The proposed antenna is designed to operate over the 24 GHz frequency band.
Anwer S. Abd El-Hameed +4 more
openaire +3 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
An evaluation framework for stereo-based driver assistance [PDF]
, 2012 This is the post-print version of the Article - Copyright @ 2012 Springer VerlagThe accuracy of stereo algorithms or optical flow methods is commonly assessed by comparing the results against the Middlebury database.
Banitsas, KA +3 more
core +1 more source
DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps
2022 IEEE Intelligent Vehicles Symposium (IV), 2022 Due to the small number of raw data automotive radar datasets and the low resolution of such radar sensors, automotive radar object detection has been little explored with deep learning models in comparison to camera and lidar-based approaches.
Colin Decourt +3 more
semanticscholar +1 more source
A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar [PDF]
IEEE Robotics and Automation Letters, 2022 Consistent motion estimation is fundamental for all mobile autonomous systems. While this sounds like an easy task, often, it is not the case because of changing environmental conditions affecting odometry obtained from vision, Lidar, or the wheels ...
K. Haggag +3 more
semanticscholar +1 more source
Synchronous and Asynchronous Radar Interference Mitigation
IEEE Access, 2019 This paper considers the interference mitigation problem for radar systems by focusing on emerging signal separation (decomposition) methods. We define appropriate transform domains to sparsely represent the interference and the signal of interest to ...
Faruk Uysal
doaj +1 more source
Minimizing interference in automotive radar using digital beamforming [PDF]
Advances in Radio Science, 2011 Millimetre wave radar is an essential part of automotive safety functions. A high interference tolerance, especially with other radar sensors, is vital. This paper gives an overview of the motivation, the boundary conditions and related activities in the
C. Fischer +3 more
doaj +1 more source