Numerous datasets and benchmarks exist to assess and compare Simultaneou...
An accurate motion model is a fundamental component of most autonomous
n...
Recent works in object detection in LiDAR point clouds mostly focus on
p...
Visual Place Recognition (VPR) is a crucial part of mobile robotics and
...
Learning deep representations for visual place recognition is commonly
p...
Tree perception is an essential building block toward autonomous forestr...
This paper aims to investigate representation learning for large scale v...
Vision-based segmentation in forested environments is a key functionalit...
Wood logs picking is a challenging task to automate. Indeed, logs usuall...
Challenges inherent to autonomous wintertime navigation in forests inclu...
Reliable and accurate localization and mapping are key components of mos...
Registration algorithms, such as Iterative Closest Point (ICP), have pro...
In robotics, accurate ground-truth position fostered the development of
...
In subarctic and arctic areas, large and heavy skid-steered robots are
p...
This paper introduces the Indian Chefs Process (ICP), a Bayesian
nonpara...
The ability to visually re-identify objects is a fundamental capability ...
Detecting objects in images is a quintessential problem in computer visi...
This report is a survey of the different autonomous driving datasets whi...
Mapping and localization are essential capabilities of robotic systems.
...
To help future mobile agents plan their movement in harsh environments,a...
To help future mobile agents plan their movement in harsh environments, ...
The ability to map challenging sub-arctic environments opens new horizon...
Forestry is a major industry in many parts of the world. It relies on fo...
Grasping is a fundamental robotic task needed for the deployment of hous...
Registration accuracy is influenced by the presence of outliers and nume...
The fusion of Iterative Closest Point (ICP) reg- istrations in existing ...
This work proposes a process for efficiently training a point-wise objec...
Tree species identification using images of the bark is a challenging pr...
Convolutional neural networks (CNN) have become the most successful and
...
The ability to grasp ordinary and potentially never-seen objects is an
i...
The activation function is an important component in Convolutional Neura...
Automatic sign language recognition is an open problem that has received...