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High Fidelity Physics Simulation-Based Convolutional Neural Network for Automotive Radar Target Classification Using Micro-Doppler

Ushemadzoro Chipengo, Arien P. Sligar, Stefano M. Canta, Markus Goldgruber, Hen Leibovich, Shawn Carpenter
2021 IEEE Access  
INDEX TERMS Automotive radar, micro-Doppler, machine learning, convolutional neural networks, FMCW, simulation.  ...  Radar-based classification of VRUs can be achieved by exploiting differences in the micro-Doppler signatures associated with VRUs.  ...  In [47] micro-Doppler spectrograms of a pedestrian, bicycle and car were measured while following defined trajectories using a 7.5 GHz radar.  ... 
doi:10.1109/access.2021.3085985 fatcat:wohkarumfzaudn6kvxbv3kobpu

Practical classification of different moving targets using automotive radar and deep neural networks

Aleksandar Angelov, Andrew Robertson, Roderick Murray-Smith, Francesco Fioranelli
2018 IET radar, sonar & navigation  
A fast implementation of radar algorithms for detection, tracking, and micro-Doppler extraction is proposed in conjunction with the automotive radar transceiver TEF810X and microcontroller unit SR32R274  ...  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.  ...  This also allows to capture the micro-motions contributing most to the MD effect, such as hands, torso and the upper leg parts from walking people; the body of a moving vehicle; and bicycle frame/pedalling  ... 
doi:10.1049/iet-rsn.2018.0103 fatcat:ouy5zvqe75hmplytroib4y2ppu

Advancing Active Safety Towards The Protection Of Vulnerable Road Users By Evolution Of Adas Solutions That Meet Real-World Deployment Challenges: The Project Prospect

Andres Aparicio, Ilona Cieslik, Johann Stoll, Martin Kunert, Fabian Flohr, Maxim Arbitmann, Thomas Wimmer, Julia Bräutigan, Dariu Gavrila
2018 Zenodo  
The objective of PROSPECT is to significantly improve the effectiveness of active VRU safety systems compared to those currently on the market by: (i) expanding the scope of scenarios addressed (ii) improving  ...  The findings contribute not only to the augmentation of state-of-the-art knowledge but as well to technical innovations like assessment methodologies and tools for testing.  ...  University of Budapest, University of Amsterdam, IFSTTAR, 4activeSystems, TME, Daimler, and Chalmers.  ... 
doi:10.5281/zenodo.1222118 fatcat:e3ovdqhk4rehpjwuq7rvxot3ky

Traffic participants classification based on 3D radio detection and ranging point clouds

Jie Bai, Sen Li, Bin Tan, Lianqing Zheng, Libo Huang, Lianfei Dong
2021 IET radar, sonar & navigation  
First, a 22-dimensional feature vector of the 3D RADAR point cloud distribution was extracted to describe the shape, discrete, Doppler, and reflection intensity features of the targets.  ...  Millimetre wave radio detection and ranging (RADAR) is a cost-effective and robust means of performing this task in adverse traffic scenarios such as inclement weather (e.g. fog, snow, and rain) and poor  ...  ACKNOWLEDGEMENTS This work was supported by prospective study funding of Nanchang Automotive Innovation Institute, Tongji University (NO. QZKT2020-10).  ... 
doi:10.1049/rsn2.12182 fatcat:goubjbsqtjbkxeikikmnwnezny

A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars

Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lubke, Robert Weigel, Fabian Lurz
2021 IEEE Access  
Subsequently, feature embedding corresponding to target's micro-Doppler signature are learned using novel Bayesian based deep metric learning approaches.  ...  In this work, we demonstrate the performance of the proposed Bayesian framework using several vulnerable user targets based on a 77 GHz automotive radar.  ...  In Section III, we present the traditional automotive radar signal processing involving range, Doppler, angle processing, target detection, target clustering, extraction of micro-Doppler spectra and target  ... 
doi:10.1109/access.2021.3077690 fatcat:6hbklgq6s5fn5me6utfu7sh4yi

Road Users Classification Based on Bi-Frame Micro-Doppler With 24-GHz FMCW Radar

Rudi Coppola, Sajid Ahmed, Mohamed-Slim Alouini
2022 Frontiers in Signal Processing  
The proposed model is based on obtaining micro-Doppler information; only one receiver is used. Therefore, in addition to the target reflectivity, no geometrical information is used.  ...  This study shows an approach for classifying road users using a 24-GHz millimeter-wave radar.  ...  Moreover, we design a set of simple features that extract the distinguishing characteristics of each class from the micro-Doppler spectrum of the target.  ... 
doi:10.3389/frsip.2022.864538 fatcat:t2khtoby2fh6rpdl5sv76tpvmm

Improving safety of Vulnerable Road Users by addressing barriers of current Autonomous Emergency Braking (AEB) systems

Ilona Cieślik, Julia Bräutigam, Johann Stoll, Martin Kunert, Sebastian Krebs, Maxim Arbitmann, Thomas Wimmer
2019 Zenodo  
Driving simulator studies were used in a controlled environment for the collection of data regarding the interaction between the driver and the safety function.  ...  A benefit estimation methodology was developed and includes an assessment of the combined effect of active and passive safety measures of PROSPECT-like systems.  ...  University of Budapest, University of Amsterdam, IFSTTAR, 4activeSystems, TME, Daimler, and Chalmers.  ... 
doi:10.5281/zenodo.3369614 fatcat:aaby2eo2zfbodco4wjfjbyu34u

Advancing Active Safety And Testing Methodologies Towards The Protection Of Vulnerable Road Users: The Project Prospect

Ilona Cieślik, Julia Bräutigan, Patrick Seiniger, Martin Kunert, Maxim Arbitmann, Thomas Wimmer, Sebastian Krebs
2018 Zenodo  
The objective of PROSPECT is to improve significantly the effectiveness of active VRU safety systems compared to those currently on the market by: (i) expanding the scope of urban scenarios addressed (  ...  User acceptance tests with the participation of drivers are also crucial in PROSPECT for the success of all active safety systems.  ...  increased up to 270° covering vehicle front and one side), highresolution and sensitive microwave radar sensors with enhanced micro-Doppler capabilities for a better radar-based VRU classification.  ... 
doi:10.5281/zenodo.1422458 fatcat:76wb5dufxngsvhuo3dwzjq2qgu

A Review on Driving Control Issues for Smart Electric Vehicles

Tansu S. Haque, Md. H. Rahman, Md. Robiul Islam, Md. A. Razzak, Faisal R. Badal, Md. H. Ahamed, S. I. Moyeen, Sajal K. Das, Md. F. Ali, Z. Tasneem, D. K. Saha, Ripon K. Chakrabortty (+1 others)
2021 IEEE Access  
Despite advancements in these areas, the realization of optimal smart EVs still requires considerable effort.  ...  Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on the environment whilst providing a safer and smoother riding experience.  ...  In [157] , a radar-based pedestrian detection system is built using the SVM and Micro-Doppler effects.  ... 
doi:10.1109/access.2021.3116353 fatcat:prd46jrgsncydbtasfkxia6w3e

IMPROVING THE EFFECTIVENESS OF ACTIVE SAFETY SYSTEMS TO SIGNIFICANTLY REDUCE ACCIDENTS WITH VULNERABLE ROAD USERS

Ilona Cieślik, Jordanka Kovaceva, Marie-Pierre Bruyas, David R. Large, Martin Kunert, Sebastian Krebs, Maxim Arbitmann
2019 Zenodo  
Driving simulator studies were then used in a controlled and repeatable environment for the collection of data regarding the interaction between the driver and the safety function.  ...  The objective of PROSPECT was to improve significantly the effectiveness of active VRU safety systems compared to those currently on the market by: (i) expanding the scope of urban scenarios addressed  ...  University of Budapest, University of Amsterdam, IFSTTAR, 4activeSystems, TME, Daimler, and Chalmers.  ... 
doi:10.5281/zenodo.3247142 fatcat:qawxuyx755eyvg7smjsdo3nba4

Towards Self-Powered Sensing Using Nanogenerators for Automotive Systems

Hassan Askari, E. Hashemi, A. Khajepour, M.B. Khamesee, Z.L. Wang
2018 Nano Energy  
A few novel types self-powered sensing mechanisms are presented for each of the abovementioned sensor categories using nanogenerators.  ...  The last section includes the automotive systems and subsystems, which have the potential to be used for energy harvesting, such as suspension and tires.  ...  , pulsed Doppler radar, monopulse radar, laser, far-infrared (FIR), and near-infrared (NIR).  ... 
doi:10.1016/j.nanoen.2018.09.032 fatcat:cafunos6r5hpjlz3oee4s32euq

A Bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz, TUHH Universitätsbibliothek
2021
Subsequently, feature embedding corresponding to target's micro-Doppler signature are learned using novel Bayesian based deep metric learning approaches.  ...  In this work, we demonstrate the performance of the proposed Bayesian framework using several vulnerable user targets based on a 77 GHz automotive radar.  ...  In Section III, we present the traditional automotive radar signal processing involving range, Doppler, angle processing, target detection, target clustering, extraction of micro-Doppler spectra and target  ... 
doi:10.15480/882.3709 fatcat:qbxyiix3nzfmfcxtohup22dbxa

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies [article]

Yu Huang, Yue Chen
2020 arXiv   pre-print
Almost at the same time, deep learning has made breakthrough by several pioneers, three of them (also called fathers of deep learning), Hinton, Bengio and LeCun, won ACM Turin Award in 2019.  ...  This is a survey of autonomous driving technologies with deep learning methods.  ...  [280] , which uses an instance layer to learn instances (vehicles, bicycles, and pedestrians)' movements and interactions and has a category layer to learn the similarities of instances belonging to  ... 
arXiv:2006.06091v3 fatcat:nhdgivmtrzcarp463xzqvnxlwq

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.  ...  automotive radars.  ... 
doi:10.5445/ksp/1000090003 fatcat:t3tliipm5zgqda6pw35oel7cha

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
Then, lossless or lossy watermark extraction is used.  ...  Software is also developed to coordinate with the hardware so the system is ready for commercial automotive radar test and calibration.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu
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