Borja Bovcon

Research

I was a PhD student under prof. Matej Kristan’s suppervision at Visual Cognitive Systems Laboratory at Faculty of Computer and Information Science, University of Ljubljana. My research interests are computer vision, obstacle detection, image segmentation and robotics.

Autonomous boats perception methods

Unmnanned surface vehicles (USV) are robotic boats that can be used for coastal patrolling in a numerous applications ranging from surveillance to water cleanness control. We are developing computer vision algorithms that enable autonomous operation in the highly dynamic environments in which the USVs are applied.

Projects:

DAViMaR - Adaptive deep perception methods for autonomous surface vehicles

April 2020 - August 2023
The project primary goal is to develop the next-generation maritime environment perception methods, which will harvest the power of end-to-end trainable deep models for essential challenges of safe operation like: general obstacle detection with re-identification, implicit detection of hazardous areas and sensor fusion for improved detection.

ViAMaRo - Robust computer vision methods for autonomous water surface vehicles

May 2017 - April 2020
The project primary goal is to develop functionalities required for robust autonomous navigation of USVs in uncontrolled environments, primarily relying on the captured visual information. The project focuses on obstacle detection using monocular and stereo systems, development of efficient visual tracking algorithms for marine environments and environment representation through sensor fusion.

Publications