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Complex-valued Channel Attention and Application in Ego-Velocity Estimation with Automotive Radar

Hyun-Woong Cho, Sungdo Choi, Young-Rae Cho, Jongseok Kim
2021 IEEE Access  
This offset provides the foundation for estimating the rotational motion based on the observed relative radial motion [2] , [9] - [14] .  ...  SIGNAL MODEL FMCW radars are widely employed in the automotive field owing to their advantages, such as light weight, low power consumption, and cost-effectiveness, while achieving relatively high range  ... 
doi:10.1109/access.2021.3054368 fatcat:zes5sl3bxjfmvmh4nimzuacolq

Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, Yutao Yue
2022 Sensors  
For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge.  ...  With recent developments, the performance of automotive radar has improved significantly. The next generation of 4D radar can achieve imaging capability in the form of high-resolution point clouds.  ...  One option is to use neural networks to replace CFAR [156] or DOA estimation [76, 157] . Readers can refer to [158] for a detailed survey of learning-based DOA estimation.  ... 
doi:10.3390/s22114208 pmid:35684831 fatcat:dqzdgj7hd5hqrkudzw5uwjz73u

Table of Contents

2020 IEEE Transactions on Vehicular Technology  
Orlando 8684 Super Resolution DOA Based on Relative Motion for FMCW Automotive Radar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Al-Raweshidy 9112 Wireless Communications Pilot-Less One-Shot Sparse Coding for Short Packet-Based Machine-Type Communications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tvt.2020.3011246 fatcat:jc4kjbytyfgi5h5oe53i4b7ew4

Deep learning for radar data exploitation of autonomous vehicle [article]

Arthur Ouaknine
2022 arXiv   pre-print
This thesis focuses the on automotive RADAR, which is a low-cost active sensor measuring properties of surrounding objects, including their relative speed, and has the key advantage of not being impacted  ...  The RADAR sensor is seldom used for scene understanding due to its poor angular resolution, the size, noise, and complexity of RADAR raw data as well as the lack of available datasets.  ...  I would like to especially thank Domique Béréziat and Francesca Bovolo for reviewing my manuscript.  ... 
arXiv:2203.08038v1 fatcat:zjupxkpaffgavm45oqpwnhkczq

Super-resolution algorithm for joint range-azimuth-Doppler estimation in automotive radars

Yalin Gurcan, Alexander Yarovoy
2017 2017 European Radar Conference (EURAD)   unpublished
Furthermore, range-Doppler estimation is performed on real life data, taken from the Dolphin prototype NXP automotive radar system.  ...  In FMCW radar systems, spectral estimation methods are used to determine the beat frequency of the reflected signal in order to obtain information about the range of scatterers relative to the position  ...  Then we investigate the current FMCW radar super-resolution methods of joint estimation in two domains (range-azimuth and range-Doppler), particularly those that are focused on automotive applications.  ... 
doi:10.23919/eurad.2017.8249150 fatcat:22gjqorhubhgngmjh4yd3jht2q

Program

2019 2019 International Conference on Control, Automation and Information Sciences (ICCAIS)  
fusing cardinalities, serves super for multi-sensor GM-PHD fusion.  ...  Based on the estimated motion parameters, the MPC effect can be removed.  ...  as the number of people in an elevator cab can be estimated and judged for security evaluation.  ... 
doi:10.1109/iccais46528.2019.9074650 fatcat:f3libdixzvez3kaeyb5dubekrq

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  . 2020 9938-9950 Hoki, K., see Kawakami, T., TVT Dec. 2020 16168-16172 Hong, C., Shan, H., Song, M., Zhuang, W., Xiang, Z., Wu, Y., and Yu, X., A Joint Design of Platoon Communication and Control Based  ...  ., TVT Jan. 2020 270-281 Super Resolution DOA Based on Relative Motion for FMCW Automotive Radar.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Polarimetric Radar for Automotive Applications

Tristan Visentin
2019
On the basis of successful state-of-the-art applications, this work presents the first in-depth analysis and ground-breaking, novel results of polarimetric millimeter wave radars for automotive applications  ...  Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets.  ...  Performing the calibration not only in boresight direction, but for a fine grid in azimuthal direction enables the computation of improved DOA spectra using super-resolution methods such as multiple signal  ... 
doi:10.5445/ksp/1000090003 fatcat:t3tliipm5zgqda6pw35oel7cha

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 7501808 Wire-Mesh Sensor Super-Resolution Based on Statistical Reconstruction.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Object Detection from FMCW Radar Using Deep Learning

Ao Zhang, University, My
2021
Automotive radar, as a primary sensor for self-driving vehicles, is well-known for its robustness against variable lighting and weather conditions.  ...  Compared with camera-based deep learning development, Object detection using automotive radars has not been explored to its full extent. This can be attributed to the lack of public radar datasets.  ...  Therefore, the core Overview of Automotive Radar Automotive radar, also known as Frequency Modulated Continuous Wave (FMCW) radar, is one of the primary sensors used in autonomous vehicles.  ... 
doi:10.20381/ruor-26732 fatcat:ehpppvfobzbsdetlxzoxrvrz4i

Author Index

2021 2020 International Symposium on Antennas and Propagation (ISAP)   unpublished
Polarimetric Observation of Ocean Radar 2B3.5 173 Accuracy Improvement of Human Motion Recognition with MW-FMCW Radar Using CNN Equation for Estimation of Radio Link Budget for NMHA in Focusing Lens Design  ...  Nadzir, 2C2.2 97 Millimeter Wave Microstrip Antenna with CSRR for 5G Application Norsaidah Mukaide, Yu 3F4.5 609 Experimental Study on Resolution Enhancement in Height for Automotive MW  ... 
doi:10.23919/isap47053.2021.9391428 fatcat:z3obv4cmlrctdo3q5vrbidinqu

Program

2021 2021 National Conference on Communications (NCC)  
In the final section, advanced concepts related to the use of modern machine learning and deep learning algorithms on automotive radar data for varied applications such as pedestrian detection, object  ...  Abstract: The tutorial is intended for bachelors, masters and doctoral students who may be interested in pursuing research in radar signal processing specifically in context to automotive radars.  ...  S11C: Radar We study medium access in FMCW radar networks.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

Scoping Study on Environmental Remote Sensing: Monitoring the tropospheric, aquatic and terrestrial environments

unpublished
Its officers, servants or agents accept no liability whatsoever for any loss or damage arising from the interpretation or use of the information, or reliance upon the views contained herein.  ...  Ground based systems A number of ground based radars have been developed for measuring surface backscatter.  ...  DIAL or DOAS would be needed for gas emission detection, but these might be most effective if ground based.  ... 
fatcat:iva4u4sthzdrpoualgbdfhg4gi

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, JIoT Oct. 1, 2021 14658-14671 Early Gesture Recognition With Reliable Accuracy Based on High-Resolution IoT Radar Sensors.  ...  ., +, JIoT April 15, 2021 6324-6336 Early Gesture Recognition With Reliable Accuracy Based on High-Resolution IoT Radar Sensors.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y