Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

6 July 2018

Papers citing "Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions"

7 / 7 papers shown

Title
Survey on LiDAR Perception in Adverse Weather Conditions M. Dreissig Dominik Scheuble Florian Piewak Joschka Boedecker 29 31 0 13 Apr 2023
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
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather Akhil M Kurup J. Bos 19 62 0 15 Sep 2021
Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions Jyri Maanpää Josef Taher P. Manninen Leo Pakola Iaroslav Melekhov Juha Hyyppa 20 15 0 28 Oct 2020
Multimodal End-to-End Autonomous Driving Yi Xiao Felipe Codevilla A. Gurram O. Urfalioglu Antonio M. López 19 241 0 07 Jun 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 43 989 0 21 Feb 2019
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 36 243 0 13 Apr 2018