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09/21/2023
RTS-GT: Robotic Total Stations Ground Truthing dataset
Numerous datasets and benchmarks exist to assess and compare Simultaneou...
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09/19/2023
DRIVE: Data-driven Robot Input Vector Exploration
An accurate motion model is a fundamental component of most autonomous n...
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07/04/2023
MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds
Recent works in object detection in LiDAR point clouds mostly focus on p...
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03/03/2023
MixVPR: Feature Mixing for Visual Place Recognition
Visual Place Recognition (VPR) is a crucial part of mobile robotics and ...
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02/28/2023
Global Proxy-based Hard Mining for Visual Place Recognition
Learning deep representations for visual place recognition is commonly p...
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10/31/2022
Tree Detection and Diameter Estimation Based on Deep Learning
Tree perception is an essential building block toward autonomous forestr...
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10/19/2022
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
This paper aims to investigate representation learning for large scale v...
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10/08/2022
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Vision-based segmentation in forested environments is a key functionalit...
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03/03/2022
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Wood logs picking is a challenging task to automate. Indeed, logs usuall...
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11/27/2021
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned
Challenges inherent to autonomous wintertime navigation in forests inclu...
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05/24/2021
SuMa++: Efficient LiDAR-based Semantic SLAM
Reliable and accurate localization and mapping are key components of mos...
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05/03/2021
Lidar Scan Registration Robust to Extreme Motions
Registration algorithms, such as Iterative Closest Point (ICP), have pro...
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04/29/2021
Accurate outdoor ground truth based on total stations
In robotics, accurate ground-truth position fostered the development of ...
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04/10/2020
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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01/29/2020
The Indian Chefs Process
This paper introduces the Indian Chefs Process (ICP), a Bayesian nonpara...
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12/06/2019
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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11/26/2019
Learning to Match Templates for Unseen Instance Detection
Detecting objects in images is a quintessential problem in computer visi...
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10/26/2019
Driving Datasets Literature Review
This report is a survey of the different autonomous driving datasets whi...
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05/06/2019
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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04/16/2019
Predicting GNSS satellite visibility from dense point clouds
To help future mobile agents plan their movement in harsh environments,a...
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04/16/2019
Predicting GNSS satellite visibility from densepoint clouds
To help future mobile agents plan their movement in harsh environments, ...
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04/16/2019
Large-scale 3D Mapping of Sub-arctic Forests
The ability to map challenging sub-arctic environments opens new horizon...
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04/10/2019
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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03/06/2019
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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10/02/2018
Analysis of Robust Functions for Registration Algorithms
Registration accuracy is influenced by the presence of outliers and nume...
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10/02/2018
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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06/18/2018
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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03/02/2018
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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10/28/2017
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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06/02/2016
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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05/30/2016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
The activation function is an important component in Convolutional Neura...
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03/19/2015
