11 citations · 40 across the 7 of their papers we have counts for
7 papers
LiDAR-based drone navigation with reinforcement learning
Pawel Miera, Hubert Szolc, Tomasz Kryjak
Reinforcement learning is of increasing importance in the field of robot control and simulation plays a~key role in this process. In the unmanned aerial vehicles (UAVs, drones), th…
High-definition event frame generation using SoC FPGA devices
Krzysztof Blachut, Tomasz Kryjak
In this paper we have addressed the implementation of the accumulation and projection of high-resolution event data stream (HD -1280 x 720 pixels) onto the image plane in FPGA devi…
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras
Kamil Jeziorek, Andrea Pinna, Tomasz Kryjak
Recent advances in event camera research emphasize processing data in its original sparse form, which allows the use of its unique features such as high temporal resolution, high d…
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…
Traffic Sign Detection With Event Cameras and DCNN
Piotr Wzorek, Tomasz Kryjak
In recent years, event cameras (DVS - Dynamic Vision Sensors) have been used in vision systems as an alternative or supplement to traditional cameras. They are characterised by hig…
Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA
Hubert Szolc, Tomasz Kryjak
This paper presents a system for hardware-in-the-loop (HiL) simulation of unmanned aerial vehicle (UAV) control algorithms implemented on a heterogeneous SoC FPGA computing platfor…