1 code implementation • CVPR 2023 • Linus Härenstam-Nielsen, Niclas Zeller, Daniel Cremers
We propose an approach based on convex relaxations for certifiably optimal robust multiview triangulation.
no code implementations • 31 Dec 2022 • Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
In this paper, we present a novel visual SLAM and long-term localization benchmark for autonomous driving in challenging conditions based on the large-scale 4Seasons dataset.
no code implementations • 2 Mar 2022 • Qing Cheng, Niclas Zeller, Daniel Cremers
In this paper, we present a complete pipeline for 3D semantic mapping solely based on a stereo camera system.
1 code implementation • 14 Nov 2021 • Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers
In this paper, we present TANDEM a real-time monocular tracking and dense mapping framework.
no code implementations • 1 Feb 2021 • Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
To achieve map-based relocalization for direct methods, we integrate image features into Direct Sparse Odometry (DSO) and rely on feature matching to associate online visual odometry (VO) with a previously built map.
1 code implementation • CVPR 2021 • Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
Unlike other multi-view stereo methods, MonoRec is able to reconstruct both static and moving objects by leveraging the predicted masks.
no code implementations • 14 Sep 2020 • Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers
We present a novel dataset covering seasonal and challenging perceptual conditions for autonomous driving.
no code implementations • ECCV 2018 • Niclas Zeller, Franz Quint, Uwe Stilla
The method is tested based on a versatile dataset consisting of challenging indoor and outdoor sequences and is compared to state-of-the-art monocular and stereo approaches.
no code implementations • 24 Jul 2018 • Niclas Zeller, Franz Quint, Uwe Stilla
We present a new dataset to evaluate monocular, stereo, and plenoptic camera based visual odometry algorithms.