Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization

ICRA Presentation Video


Direct SLAM methods have shown exceptional performance on odometry tasks. However, they are susceptible to dynamic lighting and weather changes while also suffering from a bad initialization on large baselines. To overcome this, we propose GN-Net: a network optimized with the novel Gauss-Newton loss for training weather invariant deep features, tailored for direct image alignment. Our network can be trained with pixel correspondences between images even from different sequences. Experiments on both simulated and real-world datasets demonstrate that our approach is more robust against bad initialization, variations in day-time, and weather changes thereby outperforming state-of-the-art direct and indirect methods. Furthermore, we release an evaluation benchmark for relocalization tracking against different types of weather.


The paper can be downloaded at: https://arxiv.org/abs/1904.11932
The video is available at: https://youtu.be/gcbKeKX2eiE
The supplementary can be downloaded at: gn-net-supplementary.pdf
The relocalization tracking benchmark dataset can be downloaded at: gnnet_benchmark_v1.4.zip
Code related to our benchmark can be found at: https://github.com/Artisense-ai/GN-Net-Benchmark

Export as PDF, XML, TEX or BIB

Journal Articles
[]GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization (L. von Stumberg, P. Wenzel, Q. Khan and D. Cremers), In IEEE Robotics and Automation Letters (RA-L), volume 5, 2020. ([arXiv][video][project page][supplementary]) [bibtex]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group



Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream


Thomas Pock (TU Graz) will give a talk in the TUM AI lecture series on April 15th, 3pm! Livestream


Max Welling (University of Amsterdam) will give a talk in the TUM AI lecture series on April 1st, 3pm! Livestream


We have seven papers (4 orals, 3 posters) accepted to CVPR 2021!


We have two papers accepted to ICRA 2021!