Doctoral dissertation: Methods, Models, and Datasets for Visual Servoing and Vehicle Localisation by Ihtisham Ali

In the thesis, Ihtisham investigates the problems of hand-eye calibration, and multiview pose estimation for visual simultaneous localization and mapping and proposes new methods and models with enhanced accuracy, precision, and robustness. They, together with the newly created Finnforest dataset, contribute to advancing the field of machine autonomy.  

The defence will take place in auditorium TB109 of the Tietotalo building, starting at 12 o’clock. The opponents will be Assistant Professor Juho Kannala from Aalto University and Dr. Sven Fleck from SmartSurv Vision Systems GmbH, Germany. The Custos will be Professor Atanas Gotchev from Tampere University. 

For more information, check the press release at:  

https://www.tuni.fi/en/news/ihtisham-ali-advancing-field-machine-autonomy-innovative-solutions-towards-vision-based  

The thesis is available online at Trepo: http://urn.fi/URN:ISBN:978-952-03-2764-4

The Finnforest dataset is available at CIVIT: https://civit.fi/finnforest-dataset/