State of the art in vision-based localization techniques for autonomous navigation systems
Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …
(VIO), have attracted great attention recently. They are regarded as critical modules for …
Advances in intelligent and autonomous navigation systems for small UAS
A significant growth in Unmanned Aircraft System (UAS) operations has been observed over
the past decade, largely driven by the emergence of new commercial opportunities and use …
the past decade, largely driven by the emergence of new commercial opportunities and use …
Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks
This paper studies monocular visual odometry (VO) problem. Most of existing VO algorithms
are developed under a standard pipeline including feature extraction, feature matching …
are developed under a standard pipeline including feature extraction, feature matching …
Tartanvo: A generalizable learning-based vo
We present the first learning-based visual odometry (VO) model, which generalizes to
multiple datasets and real-world scenarios and outperforms geometry-based methods in …
multiple datasets and real-world scenarios and outperforms geometry-based methods in …
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks
This paper studies visual odometry (VO) from the perspective of deep learning. After
tremendous efforts in the robotics and computer vision communities over the past few …
tremendous efforts in the robotics and computer vision communities over the past few …
Exploring representation learning with cnns for frame-to-frame ego-motion estimation
Visual ego-motion estimation, or briefly visual odometry (VO), is one of the key building
blocks of modern SLAM systems. In the last decade, impressive results have been …
blocks of modern SLAM systems. In the last decade, impressive results have been …
Flowdometry: An optical flow and deep learning based approach to visual odometry
P Muller, A Savakis - 2017 IEEE Winter Conference on …, 2017 - ieeexplore.ieee.org
Visual odometry is a challenging task related to simultaneous localization and map** that
aims to generate a map traveled from a visual data stream. Based on one or two cameras …
aims to generate a map traveled from a visual data stream. Based on one or two cameras …
LS-VO: Learning dense optical subspace for robust visual odometry estimation
This work proposes a novel deep network architecture to solve the camera ego-motion
estimation problem. A motion estimation network generally learns features similar to optical …
estimation problem. A motion estimation network generally learns features similar to optical …
Uncertainty estimation for data-driven visual odometry
Over the past few years, we have witnessed a considerable diffusion of data-driven visual
odometry (VO) approaches as viable alternatives to standard geometric-based strategies …
odometry (VO) approaches as viable alternatives to standard geometric-based strategies …
DeepAVO: Efficient pose refining with feature distilling for deep Visual Odometry
Abstract The technology for Visual Odometry (VO) that estimates the position and orientation
of the moving object through analyzing the image sequences captured by on-board …
of the moving object through analyzing the image sequences captured by on-board …