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Found 7 papers, 2 papers with code
An informative path planning framework for UAV-based terrain monitoring
Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications.
Robotics
Semantic keypoint extraction for scanned animals using multi-depth-camera systems
Keypoint annotation in point clouds is an important task for 3D reconstruction, object tracking and alignment, in particular in deformable or moving scenes.
Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
Rapidly estimating the remaining wall thickness (RWT) is paramount for the non-destructive condition assessment evaluation of large critical metallic pipelines.
IDOL: A Framework for IMU-DVS Odometry using Lines
The method's front-end extracts event clusters that belong to line segments in the environment whereas the back-end estimates the system's trajectory alongside the lines' 3D position by minimizing point-to-line distances between individual events and the lines' projection in the image space.
Robotics
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
Loop closures are verified by leveraging both the spatial characteristic of the elevation maps (SE(2) registration) and the probabilistic nature of the GP representation.
Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
We present a planning framework for minimising the deterministic worst-case error in sparse Gaussian process (GP) regression.
Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields
This work addresses the issue of motion compensation and pattern tracking in event camera data.
