Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator
Author:
Affiliation:
1. Institute of Microwaves and Photonics
2. Chair of Visual Computing
3. Machine Learning and Data Analytics Lab
4. Chair of Digital Reality
Funder
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149457/10149458/10149641.pdf?arnumber=10149641
Reference30 articles.
1. Radar Ghost Target Detection via Multimodal Transformers
2. Comparison of Different Approaches for Identification of Radar Ghost Detections in Automotive Scenarios
3. Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors
4. Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network
5. Dynamic Ray Tracing: Introduction and Concept
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