A Vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV. - Krzysztof Blachut; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Marek Gorgon (ICCVG, 2020)

Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking. - Dominika Przewlocka; Mateusz Wasala; Hubert Szolc; Krzysztof Blachut; Tomasz Kryjak (ICCVG, 2020)

Automotive perception system evaluation with reference data obtained by a UAV. - Krzysztof Blachut; Michal Danilowicz; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Nikodem Pankiewicz; Mateusz Komorkiewicz (DASIP, 2021)

Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream. - Mateusz Wasala; Tomasz Kryjak (MECO, 2022)

Automotive Perception System Evaluation with Reference Data from a UAV's Camera Using ArUco Markers and DCNN. - Krzysztof Blachut; Michal Danilowicz; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Mateusz Komorkiewicz (J. Signal Process. Syst., 2022)

Implementation of a Perception System for Autonomous Vehicles Using a Detection-Segmentation Network in SoC FPGA. - Maciej Baczmanski; Mateusz Wasala; Tomasz Kryjak (ARC, 2023)

Detection-segmentation convolutional neural network for autonomous vehicle perception. - Maciej Baczmanski; Robert Synoczek; Mateusz Wasala; Tomasz Kryjak (MMAR, 2023)

Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces. - Mateusz Wasala; Krzysztof Blachut; Hubert Szolc; Marcin Kowalczyk; Michal Danilowicz; Tomasz Kryjak (CoRR, 2024)

Vision-based automatic fruit counting with UAV. - Hubert Szolc; Mateusz Wasala; Remigiusz Mietla; Kacper Iwicki; Tomasz Kryjak (CoRR, 2025)

Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms. - Mateusz Wasala; Mateusz Smolarczyk; Michal Danilowicz; Tomasz Kryjak (CoRR, 2025)