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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 …
Many-to-many splatting for efficient video frame interpolation
Motion-based video frame interpolation commonly relies on optical flow to warp pixels from
the inputs to the desired interpolation instant. Yet due to the inherent challenges of motion …
the inputs to the desired interpolation instant. Yet due to the inherent challenges of motion …
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 …
Efficient sparse-to-dense optical flow estimation using a learned basis and layers
We address the elusive goal of estimating optical flow both accurately and efficiently by
adopting a sparse-to-dense approach. Given a set of sparse matches, we regress to dense …
adopting a sparse-to-dense approach. Given a set of sparse matches, we regress to dense …
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 …
Video frame interpolation with many-to-many splatting and spatial selective refinement
In this work, we first propose a fully differentiable Many-to-Many (M2M) splatting framework
to interpolate frames efficiently. Given a frame pair, we estimate multiple bidirectional flows …
to interpolate frames efficiently. Given a frame pair, we estimate multiple bidirectional flows …
Independent motion detection with event-driven cameras
Unlike standard cameras that send intensity images at a constant frame rate, event-driven
cameras asynchronously report pixel-level brightness changes, offering low latency and …
cameras asynchronously report pixel-level brightness changes, offering low latency and …
Towards visual ego-motion learning in robots
Many model-based Visual Odometry (VO) algorithms have been proposed in the past
decade, often restricted to the type of camera optics, or the underlying motion manifold …
decade, often restricted to the type of camera optics, or the underlying motion manifold …
Learning monocular visual odometry with dense 3D map** from dense 3D flow
This paper introduces a fully deep learning approach to monocular SLAM, which can
perform simultaneous localization using a neural network for learning visual odometry (L …
perform simultaneous localization using a neural network for learning visual odometry (L …