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Denis Pomorski
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2020 – today
- 2023
- [j11]Chaima Bensaci
, Youcef Zennir
Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN. Reliab. Eng. Syst. Saf. 234: 109138 (2023) - [c24]Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, Kamel Haddadi:
Machine Learning-Based Monostatic Microwave Radar for Building Material Classification. I2MTC 2023: 1-5 - 2021
- [j10]Bilal Daass
Design of Multi-sensor Fusion Architectures Based on the Covariance Intersection Algorithm - Estimating Calculation Burdens. J. Intell. Robotic Syst. 101(4): 77 (2021) - [c23]Nawal Alsaleh, Bilal Daass, Denis Pomorski, Kamel Haddadi:
Fast and Real-Time Sensor-Fault Detection using Shannon's Entropy. SysTol 2021: 273-278 - 2020
- [c22]Bilal Daass, Denis Pomorski, Adem Rouibah, Kamel Haddadi:
Proof-of-Concept Millimeter-Wave Free-Space Nondestructive Testing Implemented on Collaborative Mobile Robots. MetroInd4.0&IoT 2020: 354-359
2010 – 2019
- 2019
- [c21]Bilal Daass, Denis Pomorski, Kamel Haddadi:
Using an adaptive entropy-based threshold for change detection methods - Application to fault-tolerant fusion in collaborative mobile robotics. CoDIT 2019: 1173-1178 - [c20]Bilal Daass, Denis Pomorski, Kamel Haddadi:
An adaptive threshold for change detection methods using a windowed entropy-based criterion - Application to fault-tolerant fusion in collaborative mobile robotics. SysTol 2019: 56-61 - 2018
- [c19]Chaima Bensaci, Youcef Zennir, Denis Pomorski:
A Comparative Study of STPA Hierarchical Structures in Risk Analysis: The Case of a Complex Multi-Robot Mobile System. EECS 2018: 400-405 - [c18]Kamel Haddadi, Christophe Loyez, Laurent Clavier
Six-port reflectometer in WR15 metallic waveguide for free-space sensing applications. WiSNet 2018: 80-83 - 2017
- [j9]Joelle Al Hage
Multi-sensor fusion approach with fault detection and exclusion based on the Kullback-Leibler Divergence: Application on collaborative multi-robot system. Inf. Fusion 37: 61-76 (2017) - [j8]Joelle Al Hage
Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion Based on the Kullback-Leibler Divergence. J. Intell. Robotic Syst. 87(3-4): 661-681 (2017) - [c17]Chaima Bensaci, Youcef Zennir, Denis Pomorski, El-Arkam Mechhoud:
Complex safety study of intelligent multi-robot navigation in risk's environment. ICCST 2017: 1-6 - 2016
- [c16]Joelle Al Hage
Fault tolerant collaborative localization for multi-robot system. MED 2016: 907-913 - [c15]Joelle Al Hage, Maan E. El Najjar, Denis Pomorski:
Fault tolerant multi-sensor fusion for multi-robot collaborative localization. MFI 2016: 272-278 - 2015
- [c14]Joelle Al Hage, Nourdine Ait Tmazirte, Maan E. El Najjar, Denis Pomorski:
Fault tolerant fusion approach based on information theory applied on GNSS localization. FUSION 2015: 696-702 - [c13]Joelle Al Hage, Nourdine Ait Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski:
Fault detection and exclusion method for a tightly coupled localization system. ICAR 2015: 623-628 - 2014
- [c12]Nourdine Ait Tmazirte, Maan E. El Najjar, Joelle Al Hage, Cherif Smaili, Denis Pomorski:
Fast multi fault detection & exclusion approach for GNSS integrity monitoring. FUSION 2014: 1-6 - 2013
- [c11]Nourdine Ait Tmazirte, Maan E. El Najjar, Cherif Smaili, Denis Pomorski:
Dynamical reconfiguration strategy of a multi sensor data fusion algorithm based on Information Theory. Intelligent Vehicles Symposium 2013: 896-901 - 2012
- [j7]Cindy Cappelle
Virtual 3D City Model for Navigation in Urban Areas. J. Intell. Robotic Syst. 66(3): 377-399 (2012) - [c10]Nourdine Ait Tmazirte, Maan El Badaoui El Najjar, Cherif Smaili, Denis Pomorski:
Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring. FUSION 2012: 743-749 - [c9]Maya Dawood, Maan E. El Najjar, Cindy Cappelle, Jing Peng, Mohamad Khalil
Vehicle geo-localization using IMM-UKF multi-sensor data fusion based on virtual 3D city model as a priori information. ICVES 2012: 7-12 - [c8]Maya Dawood, Cindy Cappelle
Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera. IPTA 2012: 307-312 - 2011
- [c7]Maya Dawood, Cindy Cappelle
Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera and a 3D city model. Intelligent Vehicles Symposium 2011: 510-515 - 2010
- [j6]Cindy Cappelle
Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision. J. Intell. Transp. Syst. 14(1): 3-12 (2010)
2000 – 2009
- 2009
- [c6]Jing Peng, Maan E. El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet, Abdallah Deeb:
A novel geo-localisation method using GPS, 3D-GIS and laser scanner for intelligent vehicle navigation in urban areas. ICAR 2009: 1-6 - 2008
- [c5]Cindy Cappelle, Maan E. El Najjar, Denis Pomorski, François Charpillet:
Multi-sensors data fusion using Dynamic Bayesian Network for robotised vehicle geo-localisation. FUSION 2008: 1-8 - [c4]Cindy Cappelle
Obstacle detection and localization method based on 3D model: Distance validation with ladar. ICRA 2008: 4031-4036 - 2007
- [c3]Cindy Cappelle
Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database. ITSC 2007: 1102-1107 - 2006
- [j5]Francois Caron, Emmanuel Duflos, Denis Pomorski, Philippe Vanheeghe
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects. Inf. Fusion 7(2): 221-230 (2006) - 2001
- [j4]Daniel Calvelo, Marie-Christine Chambrin, Denis Pomorski:
From local trend extraction to symbolization of time-series. Intell. Data Anal. 5(1): 41-57 (2001) - [j3]Denis Pomorski, Christophe Desrousseaux:
Improving performance of distributed detection networks: An entropy-based optimization. Signal Process. 81(12): 2479-2491 (2001) - 2000
- [j2]Daniel Calvelo, Marie-Christine Chambrin, Denis Pomorski, Pierre Ravaux:
Towards symbolization using data-driven extraction of local trends for ICU monitoring. Artif. Intell. Medicine 19(3): 203-223 (2000)
1990 – 1999
- 1999
- [c2]Daniel Calvelo, Marie-Christine Chambrin, Denis Pomorski, Pierre Ravaux:
ICU Patient State Characterization Using Machine Learning in a Time Series Framework. AIMDM 1999: 356-360 - [c1]Daniel Calvelo, Marie-Christine Chambrin, Denis Pomorski, Christian Vilhelm:
Decision support using machine learning: Towards intensive care unit patient state characterization. ECC 1999: 1896-1901 - 1997
- [j1]Sylvain Porrot, Max Dauchet, Denis Pomorski:
The Fractal Dimension of a Computable Figure is the Average Normalized Complexity of its Points. Bull. EATCS 62 (1997)
Coauthor Index
aka: Maan E. El Najjar
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