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2020 – today
- 2024
[j8]Benjamin Filtjens
, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 202-212 (2024)- 2023
- [c17]Benjamin Filtjens, Po-Kai Yang, Maaike Goris, Moran Gilat, Niklas Kempynck, Pieter Ginis, Alice Nieuwboer, Peter Slaets, Bart Vanrumste:
Automated freezing of gait assessment with deep learning and data augmentation from simulated inertial measurement unit data. BSN 2023: 1-4 - [c16]Peter Aerts, Peter Slaets, Eric Demeester:
Graph-Based Simultaneous Localization and Mapping with incorporated Dynamic Object Motion. ECMR 2023: 1-7 - [c15]Jef Billet, Paolo Pilozzi, Robrecht Louw, Thibaut Schamp, Peter Slaets:
Model Predictive and Decoupled Thrust Allocation for Overactuated Inland Surface Vessels. ECC 2023: 1-6 - [c14]Dingrui Wang, Yanyun Zhang, Peter Slaets:
A Retrofitted Dynamic Window Approach with Pivot Point Control for Maneuvering Inland Vessels on Constrained Surfaces. ICMRE 2023: 133-138 - 2022
- [j7]Robin Amsters, Simone Ruberto, Eric Demeester, Nobby Stevens, Peter Slaets:
Automating the Calibration of Visible Light Positioning Systems. Sensors 22(3): 998 (2022) - [c13]Yanming Wu, Patrick Vandewalle, Peter Slaets, Eric Demeester:
An Improved Approach to 6D Object Pose Tracking in Fast Motion Scenarios. IRC 2022: 229-237 - [i2]Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. CoRR abs/2202.01727 (2022) - 2021
- [j6]Senne Van Baelen, Gerben Peeters, Herman Bruyninckx, Paolo Pilozzi, Peter Slaets:
Dynamic Semantic World Models and Increased Situational Awareness for Highly Automated Inland Waterway Transport. Frontiers Robotics AI 8: 739062 (2021) - [j5]Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Muhammad Raheel Afzal, Joke Spildooren, Bart Vanrumste, Peter Slaets:
Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation. BMC Medical Informatics Decis. Mak. 21(1): 341 (2021) - [j4]Robin Amsters, Eric Demeester, Nobby Stevens, Peter Slaets:
Calibration of Visible Light Positioning Systems with a Mobile Robot. Sensors 21(7): 2394 (2021) - [c12]Gökay Yayla, Chris Christofakis, Stijn Storms, Tim Catoor, Paolo Pilozzi, Yogang Singh, Gerben Peeters, Muhammad Raheel Afzal, Senne Van Baelen, Dimiter Holm, Robrecht Louw, Peter Slaets:
Measuring the Impact of a Navigation Aid in Unmanned Ship Handling via a Shore Control Center. AHFE (10) 2021: 52-59 - [i1]Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, Peter Slaets, Bart Vanrumste:
Automated freezing of gait assessment with marker-based motion capture and deep learning approaches expert-level detection. CoRR abs/2103.15449 (2021)
2010 – 2019
- 2019
- [j3]Robin Amsters, Eric Demeester, Nobby Stevens, Peter Slaets:
In-Depth Analysis of Unmodulated Visible Light Positioning Using the Iterated Extended Kalman Filter. Sensors 19(23): 5198 (2019) - [c11]Robin Amsters, Eric Demeester, Peter Slaets, Dimiter Holm, Joren Joly, Nobby Stevens:
Towards Automated Calibration of Visible Light Positioning Systems. IPIN 2019: 1-8 - [c10]Robin Amsters, Peter Slaets:
Turtlebot 3 as a Robotics Education Platform. RiE 2019: 170-181 - 2018
- [c9]Robin Amsters, Ali Bin Junaid, Nick Damen, Jeroen Van de Laer, Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Dynamic Gait Monitoring Mobile Platform. ICT4AWE 2018: 49-61 - [c8]Benjamin Filtjens, Robin Amsters, Ali Bin Junaid, Nick Damen, Jeroen Van de Laer, Benedicte Vanwanseele, Bart Vanrumste, Peter Slaets:
Vision-Based Marker-Less Spatiotemporal Gait Analysis by Using a Mobile Platform: Preliminary Validation. ICT4AgeingWell (Selected Papers) 2018: 126-141 - [c7]Robin Amsters, Eric Demeester, Peter Slaets, Nobby Stevens:
Unmodulated Visible Light Positioning Using the Iterated Extended Kalman Filter. IPIN 2018: 1-8 - 2014
- [j2]Lin Zhang, Peter Slaets, Herman Bruyninckx:
An open embedded industrial robot hardware and software architecture applied to position control and visual servoing application. Int. J. Mechatronics Autom. 4(1): 63-72 (2014) - [c6]Lin Zhang, Peter Slaets, Herman Bruyninckx:
An FPGA Based Architecture for Concurrent System Design Applied to Human-robot Interaction Applications. CE 2014: 555-563 - 2013
- [c5]Wim Lemkens, Prabhjot Kaur, Koen Buys, Peter Slaets, Tinne Tuytelaars, Joris De Schutter:
Multi RGB-D camera setup for generating large 3D point clouds. IROS 2013: 1092-1099
2000 – 2009
- 2007
- [j1]Peter Slaets, Tine Lefebvre, Johan Rutgeerts, Herman Bruyninckx, Joris De Schutter:
Incremental Building of a Polyhedral Feature Model for Programming by Human Demonstration of Force-Controlled Tasks. IEEE Trans. Robotics 23(1): 20-33 (2007) - 2006
- [c4]Ruben Smits, Herman Bruyninckx, Wim Meeussen, Johan Baeten, Peter Slaets, Joris De Schutter:
Model Based Position-Force-Vision Sensor Fusion for Robot Compliant Motion Control. MFI 2006: 501-506 - 2005
- [c3]Johan Rutgeerts, Peter Slaets, Filips Schillebeeckx, Wim Meeussen, Walter Verdonck, Bert Stallaert, Peter Princen, Tine Lefebvre, Herman Bruyninckx, Joris De Schutter:
A demonstration tool with Kalman filter data processing for robot programming by human demonstration. IROS 2005: 3592-3597 - 2004
- [c2]Peter Slaets, Johan Rutgeerts, Klaas Gadeyne, Tine Lefebvre, Herman Bruyninckx, Joris De Schutter:
Construction of a geometric 3-D model from sensor measurements collected during compliant motion. ISER 2004: 571-580 - 2003
- [c1]Herman Bruyninckx, Joris De Schutter, Tine Lefebvre, Klaas Gadeyne, Peter Soetens, Johan Rutgeerts, Peter Slaets, Wim Meeussen:
Building Blocks for SLAM in Autonomous Compliant Motion. ISRR 2003: 432-441
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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