Vast: Visual and spectral terrain classification in unstructured multi-class environments
Terrain classification is a challenging task for robots operating in unstructured environments.
Existing classification methods make simplifying assumptions, such as a reduced number of …
Existing classification methods make simplifying assumptions, such as a reduced number of …
High-level camera-LiDAR fusion for 3D object detection with machine learning
GA Salazar-Gomez, MA Saavedra-Ruiz… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper tackles the 3D object detection problem, which is of vital importance for
applications such as autonomous driving. Our framework uses a Machine Learning (ML) …
applications such as autonomous driving. Our framework uses a Machine Learning (ML) …
Usage identification of anomaly detection in an industrial context
The use of flexible and autonomous robotics systems is the solution for the automation task
of the production and intra-logistics environments. This dynamic context requires the robot to …
of the production and intra-logistics environments. This dynamic context requires the robot to …