35 citations · 78 across the 9 of their papers we have counts for
9 papers
Semi-Supervised Diversity-Aware Domain Adaptation for 3D Object detection
Bartłomiej Olber, Jakub Winter, Paweł Wawrzyński +5
3D object detectors are fundamental components of perception systems in autonomous vehicles. While these detectors achieve remarkable performance on standard autonomous driving ben…
Semi-Automated Data Annotation in Multisensor Datasets for Autonomous Vehicle Testing
Andrii Gamalii, Daniel Górniak, Robert Nowak +3
This report presents the design and implementation of a semi-automated data annotation pipeline developed within the DARTS project, whose goal is to create a large-scale, multimoda…
ROS-related Robotic Systems Development with V-model-based Application of MeROS Metamodel
Tomasz Winiarski, Jan Kaniuka, Daniel Giełdowski +3
Systems built on the Robot Operating System (ROS) are increasingly easy to assemble, yet hard to govern and reliably coordinate. Beyond the sheer number of subsystems involved, the…
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Bartłomiej Olber, Krystian Radlak, Krystian Chachuła +2
Object detection is essential to many perception algorithms used in modern robotics applications. Unfortunately, the existing models share a tendency to assign high confidence scor…
Detection of out-of-distribution samples using binary neuron activation patterns
Bartlomiej Olber, Krystian Radlak, Adam Popowicz +2
Deep neural networks (DNN) have outstanding performance in various applications. Despite numerous efforts of the research community, out-of-distribution (OOD) samples remain a sign…
Combating noisy labels in object detection datasets
Krystian Chachuła, Jakub Łyskawa, Bartłomiej Olber +3
The quality of training datasets for deep neural networks is a key factor contributing to the accuracy of resulting models. This effect is amplified in difficult tasks such as obje…
Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images
Krystian Radlak, Lukasz Malinski, Bogdan Smolka
Noise reduction is one the most important and still active research topic in low-level image processing due to its high impact on object detection and scene understanding for compu…
Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448
Krystian Radlak, Michał Szczepankiewicz, Tim Jones +1
Machine learning (ML) algorithms generate a continuous stream of success stories from various domains and enable many novel applications in safety-critical systems. With the advent…
Review of image quality measures for solar imaging
Adam Popowicz, Krystian Radlak, Krzysztof Bernacki +1
The observations of solar photosphere from the ground encounter significant problems due to the presence of Earth's turbulent atmosphere. Prior to applying image reconstruction tec…