Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

Rapid and precise tree Diameter at Breast Height (DBH) measurement is pivotal in forest
inventories. While the recent advancements in LiDAR and Structure from Motion (SFM) …

Abstract Pine Wilt Disease (PWD) is a devastating disease that affects forest ecosystems
and has no known cure. Early detection is essential for suppressing infections of PWD …

Perception is an essential component of pipelines in field robotics. In this survey, we
quantitatively compare publicly available datasets available in unstructured outdoor …

As part of the development of many robotic systems for the forestry sector, forest scene
understanding requires the use of computer vision algorithms. However, this dense and …

Autonomous forestry machinery is necessary both to ensure safety and improve productivity.
Previous research related to automation technology for forestry machinery has mainly …

Timber represents an increasingly valuable and versatile resource. However, forestry
operations such as harvesting, handling and measuring logs still require substantial human …

In recent years, the utilization of RGB cameras and LiDAR sensors in agricultural settings
has surged, leading to an expanded application of machine learning techniques …

Virtual LiDAR Scan (VLS) serves as a powerful tool for the replication of real world
conditions and can assist with the calibration of LiDAR systems. In this study, we utilize …

The abundance of unlabeled forest images on the web is a powerful yet untapped resource
to train forestry vision models. Two key challenges limiting the use of these unlabeled …