New PhD student: Tom van Dijk

We are happy to introduce a new Ph.D. student – Tom van Dijk – within the project “PercEvite: Sense and avoid technology for small drones”.

Tom recently graduated from the Delft University of Technology with a double MSc degree in Mechanical Engineering and in Systems & Control, with a specialization in robotics and a thesis on a low-memory visual route following for Micro Aerial Vehicles.
In this new project, Tom will combine computer vision and machine learning techniques for the development of a lightweight collision avoidance package for small drones. Self-supervised learning will be used to extend the range and accuracy of visual obstacle detection. At a later stage, hear-and-avoid RF ranging capabilities will be added to detect and avoid other vehicles.
Tom’s promoter is prof.dr.ir. Max Mulder and his daily supervisor is dr. Guido de Croon.

Publications

Tom van Dijk: Visual Navigation for Tiny Drones. Delft University of Technology, 2024, ISBN: 978-94-6384-675-2.

Tom van Dijk, Christophe De Wagter, Guido C.H.E. de Croon: Visual route following for tiny autonomous robots. In: Science Robotics, vol. 9, no. 92, pp. eadk0310, 2024, ISSN: 2470-9476, (Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.).

Tom van Dijk, Guido de Croon: How Do Neural Networks See Depth in Single Images?. In: Proceedings - 2019 International Conference on Computer Vision, ICCV 2019, pp. 2183–2191, 2019, (The IEEE International Conference on Computer Vision 2019, ICCV ; Conference date: 27-10-2019 Through 02-11-2019).

Tom van Dijk: Self-­Supervised Learning for Visual Obstacle Avoidance. Micro Air Vehicle Lab (MAVLab), TU Delft, 2020.