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Using Machine Learning to Detect Ghost Images in Automotive Radar

Using Machine Learning to Detect Ghost Images in Automotive Radar

10 July 2020
Florian Kraus
Nicolas Scheiner
W. Ritter
Klaus C. J. Dietmayer
ArXiv (abs)PDFHTML

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
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
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
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
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++
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
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
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
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
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
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
EDLUQCV
73
5
0
01 Jun 2021
DeepReflecs: Deep Learning for Automotive Object Classification with
  Radar Reflections
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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