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RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW
  Radar

RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar

2 April 2020
Prannay Kaul
D. Martini
Matthew Gadd
Paul Newman
ArXiv (abs)PDFHTML

Papers citing "RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar"

17 / 17 papers shown
Title
Sem-RaDiff: Diffusion-Based 3D Radar Semantic Perception in Cluttered Agricultural Environments
Sem-RaDiff: Diffusion-Based 3D Radar Semantic Perception in Cluttered Agricultural Environments
Ruibin Zhang
Fei Gao
59
0
0
02 Sep 2025
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
221
14
0
08 Dec 2023
Improving Extrinsics between RADAR and LIDAR using Learning
Improving Extrinsics between RADAR and LIDAR using Learning
Peng-Tao Jiang
Srikanth Saripalli
74
4
0
17 May 2023
A recurrent CNN for online object detection on raw radar frames
A recurrent CNN for online object detection on raw radar frames
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
163
16
0
21 Dec 2022
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals
Shihong Fang
Haoran Zhu
Devansh Bisla
A. Choromańska
Satish Ravindran
D. Ren
Ryan Wu
99
5
0
26 Sep 2022
Raw High-Definition Radar for Multi-Task Learning
Raw High-Definition Radar for Multi-Task Learning
Julien Rebut
Arthur Ouaknine
Waqas Malik
Patrick Pérez
153
92
0
20 Dec 2021
Radar Occupancy Prediction with Lidar Supervision while Preserving
  Long-Range Sensing and Penetrating Capabilities
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities
P. Kung
Chieh-Chih Wang
Wen-Chieh Lin
103
17
0
08 Dec 2021
Full-Velocity Radar Returns by Radar-Camera Fusion
Full-Velocity Radar Returns by Radar-Camera Fusion
Yunfei Long
Daniel Morris
Xiaoming Liu
Marcos Castro
Punarjay Chakravarty
P. Narayanan
94
28
0
24 Aug 2021
Coherent, super resolved radar beamforming using self-supervised
  learning
Coherent, super resolved radar beamforming using self-supervised learning
Itai Orr
Moshik Cohen
Harel Damari
M. Halachmi
Z. Zalevsky
99
15
0
21 Jun 2021
Radar Odometry Combining Probabilistic Estimation and Unsupervised
  Feature Learning
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning
Keenan Burnett
David J. Yoon
Angela P. Schoellig
Timothy D. Barfoot
SSL
157
61
0
29 May 2021
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning
  of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
M. Rahman
Tauhidur Rahman
Donghyun Kim
Mohammad Arif Ul Alam
86
2
0
11 May 2021
Multi-View Radar Semantic Segmentation
Multi-View Radar Semantic Segmentation
Arthur Ouaknine
A. Newson
P. Pérez
F. Tupin
Julien Rebut
139
84
0
30 Mar 2021
Detecting and Mapping Trees in Unstructured Environments with a Stereo
  Camera and Pseudo-Lidar
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar
Brian H. Wang
Carlos Diaz-Ruiz
Jacopo Banfi
M. Campbell
3DPC
121
9
0
29 Mar 2021
Do We Need to Compensate for Motion Distortion and Doppler Effects in
  Spinning Radar Navigation?
Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
Keenan Burnett
Angela P. Schoellig
Timothy D. Barfoot
123
1
0
06 Nov 2020
Keep off the Grass: Permissible Driving Routes from Radar with Weak
  Audio Supervision
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision
David S. W. Williams
D. Martini
Matthew Gadd
Letizia Marchegiani
Paul Newman
88
12
0
11 May 2020
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in
  Challenging Real-World Driving Scenarios
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
Matthew Gadd
D. Martini
Letizia Marchegiani
Paul Newman
Lars Kunze
98
20
0
05 May 2020
Look Around You: Sequence-based Radar Place Recognition with Learned
  Rotational Invariance
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
Matthew Gadd
D. Martini
Paul Newman
116
48
0
10 Mar 2020
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