Denis Pomorski

Orcid: 0000-0001-9861-2061

According to our database1, Denis Pomorski authored at least 35 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN.
Reliab. Eng. Syst. Saf., June, 2023

Machine Learning-Based Monostatic Microwave Radar for Building Material Classification.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2021
Design of Multi-sensor Fusion Architectures Based on the Covariance Intersection Algorithm - Estimating Calculation Burdens.
J. Intell. Robotic Syst., 2021

Fast and Real-Time Sensor-Fault Detection using Shannon's Entropy.
Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

2020
Proof-of-Concept Millimeter-Wave Free-Space Nondestructive Testing Implemented on Collaborative Mobile Robots.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

2019
An adaptive threshold for change detection methods using a windowed entropy-based criterion - Application to fault-tolerant fusion in collaborative mobile robotics.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

Using an adaptive entropy-based threshold for change detection methods - Application to fault-tolerant fusion in collaborative mobile robotics.
Proceedings of the 6th International Conference on Control, 2019

2018
Six-port reflectometer in WR15 metallic waveguide for free-space sensing applications.
Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks, 2018

A Comparative Study of STPA Hierarchical Structures in Risk Analysis: The Case of a Complex Multi-Robot Mobile System.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

2017
Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion Based on the Kullback-Leibler Divergence.
J. Intell. Robotic Syst., 2017

Multi-sensor fusion approach with fault detection and exclusion based on the Kullback-Leibler Divergence: Application on collaborative multi-robot system.
Inf. Fusion, 2017

Complex safety study of intelligent multi-robot navigation in risk's environment.
Proceedings of the International Carnahan Conference on Security Technology, 2017

2016
Fault tolerant multi-sensor fusion for multi-robot collaborative localization.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Fault tolerant collaborative localization for multi-robot system.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

2015
Fault detection and exclusion method for a tightly coupled localization system.
Proceedings of the International Conference on Advanced Robotics, 2015

Fault tolerant fusion approach based on information theory applied on GNSS localization.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Fast multi fault detection & exclusion approach for GNSS integrity monitoring.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Dynamical reconfiguration strategy of a multi sensor data fusion algorithm based on Information Theory.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

2012
Virtual 3D City Model for Navigation in Urban Areas.
J. Intell. Robotic Syst., 2012

Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

Vehicle geo-localization using IMM-UKF multi-sensor data fusion based on virtual 3D city model as a priori information.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2012

Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera and a 3D city model.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010
Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision.
J. Intell. Transp. Syst., 2010

2009
A novel geo-localisation method using GPS, 3D-GIS and laser scanner for intelligent vehicle navigation in urban areas.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

2008
Obstacle detection and localization method based on 3D model: Distance validation with ladar.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Multi-sensors data fusion using Dynamic Bayesian Network for robotised vehicle geo-localisation.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

2006
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects.
Inf. Fusion, 2006

2001
Improving performance of distributed detection networks: An entropy-based optimization.
Signal Process., 2001

From local trend extraction to symbolization of time-series.
Intell. Data Anal., 2001

2000
Towards symbolization using data-driven extraction of local trends for ICU monitoring.
Artif. Intell. Medicine, 2000

1999
Decision support using machine learning: Towards intensive care unit patient state characterization.
Proceedings of the 5th European Control Conference, 1999

ICU Patient State Characterization Using Machine Learning in a Time Series Framework.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1997
The Fractal Dimension of a Computable Figure is the Average Normalized Complexity of its Points.
Bull. EATCS, 1997


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