8 citations · 8 across the 4 of their papers we have counts for
6 papers · 1 filter
Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms
Mateusz Wasala, Mateusz Smolarczyk, Michal Danilowicz +1
Accurate position estimation is essential for modern navigation systems deployed in autonomous platforms, including ground vehicles, marine vessels, and aerial drones. In this cont…
Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces
Mateusz Wasala, Krzysztof Blachut, Hubert Szolc +3
Nowadays, the increasing demand for maintaining high cleanliness standards in public spaces results in the search for innovative solutions. The deployment of CCTV systems equipped…
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA
Maciej Baczmanski, Mateusz Wasala, Tomasz Kryjak
Perception and control systems for autonomous vehicles are an active area of scientific and industrial research. These solutions should be characterised by high efficiency in recog…
Detection-segmentation convolutional neural network for autonomous vehicle perception
Maciej Baczmanski, Robert Synoczek, Mateusz Wasala +1
Object detection and segmentation are two core modules of an autonomous vehicle perception system. They should have high efficiency and low latency while reducing computational com…
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
Dominika Przewlocka, Mateusz Wasala, Hubert Szolc +2
In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall…
Vision based hardware-software real-time control system for autonomous landing of an UAV
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala +2
In this paper we present a vision based hardware-software control system enabling autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows the detection of a mar…