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Evaluation of Skid-Steering Kinematic Models for Subarctic Environments
In subarctic and arctic areas, large and heavy skid-steered robots are p...
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The Indian Chefs Process
This paper introduces the Indian Chefs Process (ICP), a Bayesian nonpara...
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Tree bark re-identification using a deep-learning feature descriptor
The ability to visually re-identify objects is a fundamental capability ...
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Learning to Match Templates for Unseen Instance Detection
Detecting objects in images is a quintessential problem in computer visi...
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Driving Datasets Literature Review
This report is a survey of the different autonomous driving datasets whi...
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ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
Mapping and localization are essential capabilities of robotic systems. ...
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Predicting GNSS satellite visibility from dense point clouds
To help future mobile agents plan their movement in harsh environments,a...
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Predicting GNSS satellite visibility from densepoint clouds
To help future mobile agents plan their movement in harsh environments, ...
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Large-scale 3D Mapping of Sub-arctic Forests
The ability to map challenging sub-arctic environments opens new horizon...
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Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
Forestry is a major industry in many parts of the world. It relies on fo...
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GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier
Grasping is a fundamental robotic task needed for the deployment of hous...
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Analysis of Robust Functions for Registration Algorithms
Registration accuracy is influenced by the presence of outliers and nume...
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CELLO-3D: Estimating the Covariance of ICP in the Real World
The fusion of Iterative Closest Point (ICP) reg- istrations in existing ...
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Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
This work proposes a process for efficiently training a point-wise objec...
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Tree Species Identification from Bark Images Using Convolutional Neural Networks
Tree species identification using images of the bark is a challenging pr...
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Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Convolutional neural networks (CNN) have become the most successful and ...
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Dictionary Learning for Robotic Grasp Recognition and Detection
The ability to grasp ordinary and potentially never-seen objects is an i...
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Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
The activation function is an important component in Convolutional Neura...
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Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network
Automatic sign language recognition is an open problem that has received...
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