17 citations · 146 across the 33 of their papers we have counts for
33 papers
Interpolation-Based Event Visual Data Filtering Algorithms
Marcin Kowlaczyk, Tomasz Kryjak
The field of neuromorphic vision is developing rapidly, and event cameras are finding their way into more and more applications. However, the data stream from these sensors is char…
LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
Konrad Lis, Tomasz Kryjak, Marek Gorgon
This paper presents LiFT, a lightweight, fully quantized 3D object detection algorithm for LiDAR data, optimized for real-time inference on FPGA platforms. Through an in-depth anal…
Increasing the scalability of graph convolution for FPGA-implemented event-based vision
Piotr Wzorek, Kamil Jeziorek, Tomasz Kryjak +1
Event cameras are becoming increasingly popular as an alternative to traditional frame-based vision sensors, especially in mobile robotics. Taking full advantage of their high temp…
Event-based vision on FPGAs -- a survey
Tomasz Kryjak
In recent years there has been a growing interest in event cameras, i.e. vision sensors that record changes in illumination independently for each pixel. This type of operation ens…
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data
Dominika Przewlocka-Rus, Tomasz Kryjak, Marek Gorgon
The performance of object detection systems in automotive solutions must be as high as possible, with minimal response time and, due to the often battery-powered operation, low ene…
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +2
The utilisation of event cameras represents an important and swiftly evolving trend aimed at addressing the constraints of traditional video systems. Particularly within the automo…
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +2
Event-based vision is an emerging research field involving processing data generated by Dynamic Vision Sensors (neuromorphic cameras). One of the latest proposals in this area are…
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…
Traffic sign detection and recognition using event camera image reconstruction
Kamil Jeziorek, Tomasz Kryjak
This paper presents a method for detection and recognition of traffic signs based on information extracted from an event camera. The solution used a FireNet deep convolutional neur…
Fast-moving object counting with an event camera
Kamil Bialik, Marcin Kowalczyk, Krzysztof Blachut +1
This paper proposes the use of an event camera as a component of a vision system that enables counting of fast-moving objects - in this case, falling corn grains. These type of cam…
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
Dominika Przewlocka-Rus, Tomasz Kryjak
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity.Since for those systems…
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection
Konrad Lis, Tomasz Kryjak
3D object detection from LiDAR sensor data is an important topic in the context of autonomous cars and drones. In this paper, we present the results of experiments on the impact of…
Traffic Sign Classification Using Deep and Quantum Neural Networks
Sylwia Kuros, Tomasz Kryjak
Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification…
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…
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm
Marcin Kowalczyk, Tomasz Kryjak
Neuromorphic vision is a rapidly growing field with numerous applications in the perception systems of autonomous vehicles. Unfortunately, due to the sensors working principle, the…
Towards real-time and energy efficient Siamese tracking -- a hardware-software approach
Dominika Przewlocka-Rus, Tomasz Kryjak
Siamese trackers have been among the state-of-the-art solutions in each Visual Object Tracking (VOT) challenge over the past few years. However, with great accuracy comes great com…