2 citations · 3 across the 4 of their papers we have counts for
8 papers
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…
Training dataset generation for bridge game registration
Piotr Wzorek, Tomasz Kryjak
This paper presents a method for automatic generation of a training dataset for a deep convolutional neural network used for playing card detection. The solution allows to skip the…
A Connected Component Labelling algorithm for multi-pixel per clock cycle video stream
Marcin Kowalczyk, Tomasz Kryjak
This work describes the hardware implementation of a connected component labelling (CCL) module in reprogammable logic. The main novelty of the design is the "full", i.e. without a…
A simple vision-based navigation and control strategy for autonomous drone racing
Artur Cyba, Hubert Szolc, Tomasz Kryjak
In this paper, we present a control system that allows a drone to fly autonomously through a series of gates marked with ArUco tags. A simple and low-cost DJI Tello EDU quad-rotor…
Optimisation of the PointPillars network for 3D object detection in point clouds
Joanna Stanisz, Konrad Lis, Tomasz Kryjak +1
In this paper we present our research on the optimisation of a deep neural network for 3D object detection in a point cloud. Techniques like quantisation and pruning available in t…
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…