A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …
robots are more commonly proposed to solve different tasks autonomously. The use of …
Understanding the limitations of cnn-based absolute camera pose regression
Visual localization is the task of accurate camera pose estimation in a known scene. It is a
key problem in computer vision and robotics, with applications including self-driving cars …
key problem in computer vision and robotics, with applications including self-driving cars …
Lamar: Benchmarking localization and mapping for augmented reality
Localization and mapping is the foundational technology for augmented reality (AR) that
enables sharing and persistence of digital content in the real world. While significant …
enables sharing and persistence of digital content in the real world. While significant …
Visual camera re-localization from RGB and RGB-D images using DSAC
E Brachmann, C Rother - IEEE transactions on pattern analysis …, 2021 - ieeexplore.ieee.org
We describe a learning-based system that estimates the camera position and orientation
from a single input image relative to a known environment. The system is flexible wrt the …
from a single input image relative to a known environment. The system is flexible wrt the …
Reference pose generation for long-term visual localization via learned features and view synthesis
Z Zhang, T Sattler, D Scaramuzza - International Journal of Computer …, 2021 - Springer
Visual Localization is one of the key enabling technologies for autonomous driving and
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …
On the limits of pseudo ground truth in visual camera re-localisation
E Brachmann, M Humenberger… - Proceedings of the …, 2021 - openaccess.thecvf.com
Benchmark datasets that measure camera pose accuracy have driven progress in visual re-
localisation research. To obtain poses for thousands of images, it is common to use a …
localisation research. To obtain poses for thousands of images, it is common to use a …
Hierarchical scene coordinate classification and regression for visual localization
Visual localization is critical to many applications in computer vision and robotics. To
address single-image RGB localization, state-of-the-art feature-based methods match local …
address single-image RGB localization, state-of-the-art feature-based methods match local …
Expert sample consensus applied to camera re-localization
E Brachmann, C Rother - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Fitting model parameters to a set of noisy data points is a common problem in computer
vision. In this work, we fit the 6D camera pose to a set of noisy correspondences between …
vision. In this work, we fit the 6D camera pose to a set of noisy correspondences between …
To learn or not to learn: Visual localization from essential matrices
Visual localization is the problem of estimating a camera within a scene and a key
technology for autonomous robots. State-of-the-art approaches for accurate visual …
technology for autonomous robots. State-of-the-art approaches for accurate visual …
2d3d-matr: 2d-3d matching transformer for detection-free registration between images and point clouds
The commonly adopted detect-then-match approach to registration finds difficulties in the
cross-modality cases due to the incompatible keypoint detection and inconsistent feature …
cross-modality cases due to the incompatible keypoint detection and inconsistent feature …