PhD student at Computer Vision Group, TUM & Senior Computer Vision Engineer at Artisense
München, Bayern
Joined August 2014
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At Valve, we are looking for computer vision software engineers: valvesoftware.com/en/jobs?jo…
If you want to create products for millions of customers and have proven experience in computer vision let me know!
Tomorrow at 10:45 I will be presenting DM-VIO in the session Visual-Inertial SLAM (room 125) at #ICRA2022.
Below there's a sneak peak of the live demo I'll show during the poster session afterwards at pod 125, 5-8.
I have just uploaded the ICRA2022 presentation video for DM-VIO: youtu.be/pWKN7Afoirs
Check it out if you are interested in an explanation of Delayed Marginalization and Pose Graph Bundle Adjustment, which were proposed in our paper.
The code for DM-VIO is now published: github.com/lukasvst/dm-vio
Also, I am excited to share that I will present the paper at ICRA this year.
I am excited to announce our new work "DM-VIO: Delayed Marginalization Visual-Inertial Odometry" which has been accepted at RA-L.
Paper: vision.in.tum.de/_media/rese…
Code coming soon: github.com/lukasvst/dm-vio
YT: youtu.be/7iep3BvcJPU
Page: vision.in.tum.de/dm-vio
We propose Delayed Marginalization. The idea is to maintain a second factor graph, where marginalization is delayed. This can be used for IMU initialization, and it also allows us to obtain an
updated marginalization prior by readvancing the delayed graph.
Lukas von Stumberg retweeted
MonoRec is a novel method for dense reconstruction in dynamic environments from a single moving camera.
Proud that we will present at #CVPR2021!
CVPR Video: youtu.be/XimdlXUamo0
GitHub: github.com/Brummi/MonoRec
Project Page: vision.in.tum.de/research/mo…
#computervision #monorec
We have just uploaded the ICRA presentation video for our work "GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization" to Youtube: youtu.be/q_uVb_o255o
Lukas von Stumberg retweeted
Our new work --
"D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry" is accepted as an oral presentation at CVPR 2020.
(1/n)
paper: arxiv.org/abs/2003.01060
#CVPR2020 #cvpr #slam #computervison
Thanks a lot! I am happy to announce that we will present this work next ICRA. I’m looking forward to meeting a lot of other scientists there!
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization.
I presented this paper last week at my deep learning reading group. I love the idea of learning matchable representations via Gauss Newton image alignment. arxiv.org/abs/1904.11932 #ComputerVision #Robotics #slam
