Simulation of Urban Automotive Radar Measurements for Deep Learning Target Detection-Reference-Cited by-同舟云学术

Simulation of Urban Automotive Radar Measurements for Deep Learning Target Detection

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Wengerter Thomas¹,Perez Rodrigo²,Biebl Erwin²,Worms Josef¹,O'Hagan Daniel¹

Affiliation:

1. Fraunhofer FHR Institute for High Frequency Physics and Radar Techniques,Wachtberg,Germany,53343

2. Technical University of Munich, Arcisstr. 21,Associate Professorship of Microwave Engineering,München,Germany,80333

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827284.pdf?arnumber=9827284

Reference23 articles.

1. High resolution automotive radar measurements of vulnerable road users – pedestrians cyclists;schubert;2015 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM),2015

2. Extraction of Scattering Centers Using a 77 GHz FMCW Radar

3. Machine Learning-Based Radar Perception for Autonomous Vehicles Using Full Physics Simulation

4. A multi-reflection-point target model for classification of pedestrians by automotive radar

5. Radar reflection characteristics of vehicles for contour and feature estimation

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3. Transfer Learning in Automotive Radar Using Simulated Training Data Sets;2023 24th International Radar Symposium (IRS);2023-05-24

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