Goto:

Forest Technology Academy Master Thesis School 2020

Foto: Sven Tegelmo, Skogforsk
In collaboration with KTH Royal Institute of Technology we are now announcing three master thesis projects for spring 2020. Applications by the 29th of December.

Augmented reality of GIS data in remote-controlled forest machines

Forest machine operators need to consider many things while processing the trees. Skogforsk has recently opened an experimental setup for evaluation of technology related to remote control of forest machines. A full-scale forwarder prototype is currently equipped for remote control, using controls, screens and VR video feedback. The new technology opens for several interesting studies. The purpose of this thesis work is to include GIS-related data as shaded figures on the correct location in the live video feed. The data is obtained from public databases and contain borders, ancient remains, protected areas, etc. The thesis aims to determine the accuracy and rate of machine position data required to achieve a useful illustration. The method of study involves working with experimental setup to design a working concept and include C++ programming, databases, processing of sensor data and human interface design.

Combining LIDAR and video feed in a remote-controlled forest machine

Skogforsk has recently opened an experimental setup for evaluation of technology related to remote control of forest machines. A full-scale forwarder prototype is currently equipped for remote control, using controls, screens and VR video feedback. The setup opens for several interesting studies. The purpose of this thesis work is to include LIDAR measurements as shaded figures on the correct location in the live video feed. The aims are to establish the accuracy and rate of data needed to achieve the combined graphics. The method of study involves working with experimental setup to design a working concept and include C++ programming, processing of sensor data and human interface design.

Boom tip control of forest machine using ROS node with real time simulator

In traditional crane control each joystick movement corresponds to an actuation of a certain joint in the crane. Boom tip control is a feature where the operator can perform more intuitive joystick movements which are converted by the control system to the proper actuator movements. This feature is not commonly available on current machines. The proposed thesis work aims to establish the fundamentals of boom tip control and to study the lag when implementing the control logic as a ROS node (www.ros.org). The node can be placed in a simulation environment and experimentally evaluated as hardware-in-the-loop. Relevant skills/interests are control systems and C++ or python programming.

General information for all projects

Number of students per project: 
One or two
Start date for thesis project: 
January 2020 or in agreement

Duration
20 weeks (30 ECTS credits)
Deadline for the application:
December 29th 2020


11/13/2019 3:58 PM