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RadarGNN: Transformation Invariant Graph Neural Network for Radar-based
  Perception

RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception

13 April 2023
F. Fent
Philipp Bauerschmidt
Markus Lienkamp
ArXivPDFHTML

Papers citing "RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception"

17 / 17 papers shown
Title
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
Philipp Wolters
Johannes Gilg
Torben Teepe
Fabian Herzog
Felix Fent
Gerhard Rigoll
79
0
0
29 Nov 2024
SIRA: Scalable Inter-frame Relation and Association for Radar Perception
SIRA: Scalable Inter-frame Relation and Association for Radar Perception
Ryoma Yataka
P. Wang
P. Boufounos
R. Takahashi
38
4
0
04 Nov 2024
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse
  conditions
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
F. Fent
Fabian Kuttenreich
Florian Ruch
Farija Rizwin
Stefan Juergens
...
Christian Nissler
Andrea Perl
Ulrich Voll
Min Yan
Markus Lienkamp
16
6
0
10 Jul 2024
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
Jialong Wu
Mirko Meuter
Markus Schoeler
Matthias Rottmann
27
0
0
15 Jun 2024
Deep Learning-Driven State Correction: A Hybrid Architecture for
  Radar-Based Dynamic Occupancy Grid Mapping
Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping
M. Ronecker
Xavier Diaz
Michael Karner
Daniel Watzenig
30
1
0
22 May 2024
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object
  Detection
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
F. Fent
Andras Palffy
Holger Caesar
49
13
0
03 Apr 2024
Leveraging Self-Supervised Instance Contrastive Learning for Radar
  Object Detection
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
SSL
33
0
0
13 Feb 2024
Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach
Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach
M. Ronecker
Markus Schratter
Lukas Kuschnig
Daniel Watzenig
32
1
0
02 Feb 2024
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Zitian Peng
Chenhang Xu
Yilu Shi
...
Hyungjoon Seo
Ka Lok Man
Jieming Ma
Xiaohui Zhu
Yutao Yue
46
5
0
08 Dec 2023
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
8
0
0
13 Nov 2023
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with
  4D Imaging Radar
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar
Jianan Liu
Qiuchi Zhao
Weiyi Xiong
Tao Huang
Qinghua Han
Bing Zhu
24
50
0
20 Jul 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
41
91
0
20 Apr 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny
Emanuele De Pellegrin
S. Mukherjee
Alireza Ahrabian
Sen Wang
Andrew M. Wallace
64
199
0
18 Oct 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
153
737
0
02 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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