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2011.04539
Cited By
Learning to Localize in New Environments from Synthetic Training Data
9 November 2020
Dominik Winkelbauer
Maximilian Denninger
Rudolph Triebel
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Papers citing
"Learning to Localize in New Environments from Synthetic Training Data"
4 / 4 papers shown
Title
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Amanda Prorok
31
4
0
02 May 2024
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
48
21
0
20 Sep 2021
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan
Abhinav Valada
Wolfram Burgard
70
240
0
23 Apr 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
1