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Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in
  Unseen Adverse Weather

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

24 February 2019
Mario Bijelic
Tobias Gruber
Fahim Mannan
Florian Kraus
W. Ritter
Klaus C. J. Dietmayer
Felix Heide
ArXivPDFHTML

Papers citing "Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather"

6 / 6 papers shown
Title
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object
  Detection in Adverse Weather Conditions
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
George Eskandar
Robert A. Marsden
Pavithran Pandiyan
Mario Döbler
Karim Guirguis
B. Yang
28
7
0
07 Mar 2022
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Muhamad Risqi U. Saputra
Chris Xiaoxuan Lu
Pedro Porto Buarque de Gusmão
Bing Wang
Andrew Markham
Niki Trigoni
29
32
0
15 Apr 2021
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
14
14
0
04 Mar 2020
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
Robin Heinzler
Florian Piewak
Philipp Schindler
W. Stork
23
138
0
09 Dec 2019
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Martin Hahner
Dengxin Dai
Christos Sakaridis
Jan-Nico Zaech
Luc Van Gool
21
61
0
09 Oct 2019
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
K. Jia
Chunmei Qing
Dacheng Tao
117
2,399
0
28 Jan 2016
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