Doctoral student position in a WASP-financed project at the Department of Electrical Engineering (ISY) at Linköping University.
Your work assignments
You will be working with statistical multi-object tracking based on audio and visual data. You will be using the current advancements in machine learning based object detection and classification to extract meaningful information from the data. This information will then be used to maximize the performance and reliability of multi-object tracking using statistical tracking methods. The project will be carried out in collaboration with WARA-PS (https://portal.waraps.org/). This gives the possibility to collect and work with unique experimental data to verify the algorithms developed in the project.