Wood utilisation is an important factor affecting production costs, but the combined utilisation
rate of wood is generally only 50 to 70%. During the production process, the rejection …

The deep learning feature extraction method and extreme learning machine (ELM)
classification method are combined to establish a depth extreme learning machine model for …

Accurate detection of wood defects plays a crucial role in optimizing wood utilization,
minimizing corporate expenses, and safeguarding precious forest resources. To achieve …

High accuracy 3D surface information is required for many construction robotics tasks such
as automated cement polishing or robotic plaster spraying. However, consumer-grade depth …

The increasing demand for social well-being and infrastructure development, along with the
exploitation of physical resources and the depletion of natural ecological resources, have …

This article presents a vision method of identifying and measuring wood surface parameters
to detect defects resulting from errors occurring during machining. The paper presents the …

Proper measurements are extremely significant for the forest owner, the harvesting
company, the hauler, the final buyer, and the wood processing company. The accuracy of …

Climate-smart forestry can be regarded as the evolution of traditional silviculture. As such, it
must rely on smart harvesting equipment and techniques for a reliable and effective …

This paper presents an integrated raw-wood fabrication workflow using an industrial robot
arm and a laser scanner. The research is situated in a Swiss mountain forestry context …

The automation of rail track inspection addresses key issues in railway transportation,
notably reducing maintenance costs and improving safety. However, it presents numerous …