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2007.05280
Cited By
Using Machine Learning to Detect Ghost Images in Automotive Radar
10 July 2020
Florian Kraus
Nicolas Scheiner
W. Ritter
Klaus C. J. Dietmayer
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Papers citing
"Using Machine Learning to Detect Ghost Images in Automotive Radar"
11 / 11 papers shown
Title
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
Yuan Luo
Rudolf Hoffmann
Yan Xia
Olaf Wysocki
Benedikt Schwab
T. H. Kolbe
Daniel Cremers
132
0
0
16 Apr 2025
BoostRad: Enhancing Object Detection by Boosting Radar Reflections
Yuval Haitman
Oded Bialer
75
2
0
27 Apr 2024
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data
Johannes Kopp
Dominik Kellner
Aldi Piroli
Vinzenz Dallabetta
Klaus C. J. Dietmayer
49
1
0
13 Nov 2023
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges
Arvind Srivastav
S. Mandal
122
33
0
15 Jun 2023
Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++
Johannes Kopp
Dominik Kellner
Aldi Piroli
Klaus C. J. Dietmayer
76
11
0
16 Mar 2023
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
73
122
0
17 Apr 2022
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
Kanil Patel
William H. Beluch
K. Rambach
Michael Pfeiffer
B. Yang
UQCV
102
9
0
27 Sep 2021
Anomaly Detection in Radar Data Using PointNets
Thomas Griebel
Dominik Authaler
Markus Horn
M. Henning
M. Buchholz
Klaus C. J. Dietmayer
3DPC
89
13
0
20 Sep 2021
Fast Rule-Based Clutter Detection in Automotive Radar Data
Johannes Kopp
Dominik Kellner
Aldi Piroli
Klaus C. J. Dietmayer
48
17
0
27 Aug 2021
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
Kanil Patel
William H. Beluch
K. Rambach
Adriana-Eliza Cozma
Michael Pfeiffer
Bin Yang
EDL
UQCV
73
5
0
01 Jun 2021
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich
Claudius Gläser
Fabian Timm
83
28
0
19 Oct 2020
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