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CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation

CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation

30 June 2024
Huawei Sun
Hao Feng
Julius Ott
Lorenzo Servadei
Robert Wille
ArXivPDFHTML

Papers citing "CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation"

4 / 4 papers shown
Title
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
Huawei Sun
Bora Kunter Sahin
Georg Stettinger
Maximilian Bernhard
Matthias Schubert
Robert Wille
49
0
0
06 May 2025
Depth Estimation from Monocular Images and Sparse radar using Deep
  Ordinal Regression Network
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
Chen-Chou Lo
P. Vandewalle
MDE
40
33
0
15 Jul 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
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