17 citations · 146 across the 33 of their papers we have counts for
8 papers · 1 filter
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…
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms
Konrad Lis, Tomasz Kryjak
Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones. However, prototyping detection algorithms is time-consuming and costly in terms of ener…
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…
Pedestrian detection with high-resolution event camera
Piotr Wzorek, Tomasz Kryjak
Despite the dynamic development of computer vision algorithms, the implementation of perception and control systems for autonomous vehicles such as drones and self-driving cars sti…
Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream
Mariusz Grabowski, Tomasz Kryjak
In this paper, we propose a real-time FPGA implementation of the Semi-Global Matching (SGM) stereo vision algorithm. The designed module supports a 4K/Ultra HD (3840 x 2160 pixels…