research
∙
01/11/2023
TBV Radar SLAM – trust but verify loop candidates
Robust SLAM in large-scale environments requires fault resilience and aw...
share
research
∙
10/03/2022
Extrinsic calibration for highly accurate trajectories reconstruction
In the context of robotics, accurate ground-truth positioning is the cor...
research
∙
03/25/2022
Gravity-constrained point cloud registration
Visual and lidar Simultaneous Localization and Mapping (SLAM) algorithms...
research
∙
11/27/2021
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned
Challenges inherent to autonomous wintertime navigation in forests inclu...
research
∙
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 ...
research
∙
05/03/2021
Lidar Scan Registration Robust to Extreme Motions
Registration algorithms, such as Iterative Closest Point (ICP), have pro...
research
∙
04/29/2021
Accurate outdoor ground truth based on total stations
In robotics, accurate ground-truth position fostered the development of ...
research
∙
10/21/2020
Improving the Iterative Closest Point Algorithm using Lie Algebra
Mapping algorithms that rely on registering point clouds inevitably suff...
research
∙
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...
research
∙
04/16/2019
Predicting GNSS satellite visibility from dense point clouds
To help future mobile agents plan their movement in harsh environments,a...
research
∙
04/16/2019
Predicting GNSS satellite visibility from densepoint clouds
To help future mobile agents plan their movement in harsh environments, ...
research
∙
04/16/2019
