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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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09/10/2023
Benchmarking ground truth trajectories with robotic total stations
Benchmarks stand as vital cornerstones in elevating SLAM algorithms with...
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08/03/2023
Uncertainty analysis for accurate ground truth trajectories with robotic total stations
In the context of robotics, accurate ground truth positioning is essenti...
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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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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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10/08/2022
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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10/03/2022
Extrinsic calibration for highly accurate trajectories reconstruction
In the context of robotics, accurate ground-truth positioning is the cor...
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09/07/2022
On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation
In the context of autonomous driving, vehicles are inherently bound to e...
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08/10/2022
Robotics in Snow and Ice
Definition: The terms "robotics in snow and ice" refers to robotic syste...
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08/02/2022
Present and Future of SLAM in Extreme Underground Environments
This paper reports on the state of the art in underground SLAM by discus...
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03/25/2022
Gravity-constrained point cloud registration
Visual and lidar Simultaneous Localization and Mapping (SLAM) algorithms...
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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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10/12/2021
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
We present a field report of CTU-CRAS-NORLAB team from the Subterranean ...
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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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03/08/2021
Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments
In the context of autonomous vehicles, one of the most crucial tasks is ...
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11/16/2020
Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation
In the context of autonomous robots, one of the most important tasks is ...
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10/21/2020
Improving the Iterative Closest Point Algorithm using Lie Algebra
Mapping algorithms that rely on registering point clouds inevitably suff...
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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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10/26/2019
Driving Datasets Literature Review
This report is a survey of the different autonomous driving datasets whi...
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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
Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment
In a context of autonomous robots, one of the most important task is to ...
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10/03/2018
Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration
In the context of 3D mapping, larger and larger point clouds are acquire...
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10/03/2018
Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping
In a context of 3D mapping, it is very important to get accurate measure...
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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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01/15/2018