The DREAM Lab

Publications

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Habilitation à Diriger des Recherches (HDR, French diploma required to supervise PhD students)

Pradalier, Cédric: Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments, HDR de l’Institut National Polytechnique de Toulouse, presented on June 5th, 2015, tel-01435879.

Articles in journals

2023

Salim Khazem, Antoine Richard, Jeremy Fix, Cédric Pradalier, Deep learning for the detection of semantic features in tree X-ray CT scans, Artificial Intelligence in Agriculture, Volume 7, 2023, Pages 13-26, ISSN 2589-7217, https://doi.org/10.1016/j.aiia.2022.12.001.
Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier, Martin Laviale, Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach, Engineering Applications of Artificial Intelligence, Volume 117 Part B, January 2023, 105594, https://doi.org/10.1016/j.engappai.2022.105594.

2022

Chahine, G. & Pradalier, C. (2022). Semantic-aware Spatiotemporal Alignment of Natural Outdoor Surveys. Field Robotics, 2, 1819–1848. PDF https://doi.org/10.55417/fr.2022056
Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier, A data driven approach to generate realistic 3D tree barks, Graphical Models, Volume 123, 2022, 101166, ISSN 1524-0703, https://doi.org/10.1016/j.gmod.2022.101166.
Eric C. Orenstein, Sakina-Dorothée Ayata, Frédéric Maps, Érica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel-Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy-Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiørboe, Jean-François Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Séverine Martini, Albin Meyer, Klas Ove Möller, Barbara Niehoff, Mark D. Ohman, Cédric Pradalier, Jean-Baptiste Romagnan, Simon-Martin Schröder, Virginie Sonnet, Heidi M. Sosik, Lars S. Stemmann, Michiel Stock, Tuba Terbiyik-Kurt, Nerea Valcárcel-Pérez, Laure Vilgrain, Guillaume Wacquet, Anya M. Waite, Jean-Olivier Irisson (2022). Machine learning techniques to characterize functional traits of plankton from image data. Limnology and Oceanography. https://doi.org/10.1002/lno.12101
Chahine, G.; Schroepfer, P.; Ouabi, O.-L.; Pradalier, C (2022). A Magnetic Crawler System for Autonomous Long-Range Inspection and Maintenance on Large Structures. Sensors, 22, 3235. https://doi.org/10.3390/s22093235
Ouabi, O; Pomarede, P.; Declercq, N. F.; Zeghidour, N.; Geist, M. & Pradalier, C. (2022). Learning the propagation properties of rectangular metal plates for Lamb wave-based mapping. Ultrasonics, 106705.

2021

Cláudia Oliveira, Stéphanie Aravecchia, Cédric Pradalier, Vincent Robin, Simon Devin, (2021) International Journal of Applied Earth Observation and Geoinformation The use of remote sensing tools for accurate charcoal kilns’ inventory and distribution analysis: Comparative assessment and prospective
Guilloteau, H., Pradalier, C.. Roman, V., Bellanger, X., Billard, P., Merlin, C. (2021) Identification of antibiotics triggering the dissemination of antibiotic resistance genes by SXT/R391 elements using a dedicated high-throughput whole-cell biosensor assay. Journal of Antimicrobial Chemotherapy.
Richard, A., Aravecchia, S., Schillaci, T., Geist, M., & Pradalier, C. (2021). How To Train Your HERON. IEEE Robotics and Automation Letters, 6(3), 5247-5252.
Ouabi, O.; Pomarede, P.; Geist M.; Declercq NF; Pradalier, C. (2021) A FastSLAM Approach Integrating Beamforming Maps for Ultrasound-based Robotic Inspection of Metal Structures. IEEE Robotics and Automation Letters (RA-L). Volume 6, Issue 2, p.2908-2913.
Chahine, G; Vaidis, M.; Pomerleau F.; Pradalier, C. Mapping in unstructured natural environment: a sensor fusion framework for wearable sensor suites. SN Applied Sciences, 2021. ⟨hal-03201502⟩
Mahé, A.; Richard, A.; Aravecchia, S.; Geist, M.; Pradalier, C. Evaluation of prioritized deep system identification on a path following task. Journal of Intelligent & Robotic Systems, 2021. ⟨hal-03138279⟩

2020

Alberto Pretto, Stephanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cedric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan Nieto. Building an aerial-ground robotics system for precision farming: An adaptable solution. IEEE Robotics & Automation Magazine, 2020.
Wu, X.; Aravecchia, S.; Lottes, P.; Stachniss, C.; Pradalier, C. Robotic Weed Control Using Automated Weed and Crop Classification. Journal of Field Robotics, 2020, In press ⟨hal-02484462⟩.

2019

Griffith, S., Dellaert, F. and Pradalier, C. Transforming Multiple Visual Surveys of a Natural Environment Into Time–Lapses. International Journal of Robotic Research, 2019, In press (hal-02278909).

2018

Pradalier, Cédric; Juan, Pierre-Alexandre; McCabe, Rodney J.; Capolungo, Laurent; A Graph Theory-Based Automated Twin Recognition Technique for Electron Backscatter Diffraction Analysis. Integrating Materials and Manufacturing Innovation, 1-16, 2018. Draft version.

2017

Cazau, Dorian; Pradalier, Cédric; Bonnel, Julien; Guinet Christophe; Do Southern Elephant Seals Behave Like Weather Buoys? Oceanography (Special Issue on Autonomous and Lagrangian Platforms and Sensors), 2017
Griffith, Shane; Chahine, Georges; Pradalier, Cédric; Symphonie Lake Dataset, International Journal of Robotic Research, 2017 (see at the end of this page for the the link to the datasets).
El Gmili, Youssef; Bonanno, Peter L.; Sundaram, Suresh; Li, Cin; Puybaret, Renaud; Patriarche, Guy; Pradalier, Cédric; Decobert, J.; Voss, Paul L; Salvestrini, Jean-Paul.; Ougazzaden, Abdallah; Mask effect in nano-selective- area-growth by MOCVD on thickness enhancement, indium incorporation, and emission of InGaN nanostructures on AlN-buffered Si(111) substrates. Opt. Mater. Express 7(2), 376-385, 2017

2016

Griffith, Shane; Pradalier, Cédric; Survey Registration For Long-Term Natural Environment Monitoring, Journal of Field Robotics, 2016
Sundaram, Suresh; Li, Xin; El Gmili, Youssef; Bonanno, Peter; Puybaret, Renaud; Pradalier, Cédric; Pantzas, Konstantinos; Patriarche, Gilles; Voss, Paul; Salvestrini, Jean-Paul; Ougazzaden, Abdallah: Single-crystal nanopyramidal BGaN by nanoselective area growth on AlN/Si(111) and GaN templates, Nanotechnology, 2016

2015

Bertin, Nicolas; Upadhyay, Manas; Pradalier, Cédric; Capolungo, Laurent: A FFT-based formulation for efficient mechanical fields computation in isotropic and anisotropic periodic discrete dislocation dynamics, Modelling and Simulation in Materials Science and Engineering, 2015
Juan, P.-A.; Pradalier, C.; Berbenni, S.; McCabe, R.J.; C.N. Tomé, C.N.; Capolungo, L.: A statistical analysis of the influence of microstruture and twin-twin interactions on nucleation and growth of twins in Zr, Acta Materialia, 2015

2013

Marie-Ève Garneau, Thomas Posch, Gregory Hitz, François Pomerleau, Cédric Pradalier, Roland Siegwart, Jakob Pernthaler: Short-term displacement of Planktothrix rubescens (cyanobacteria) in a pre-alpine lake observed using an autonomous sampling platform, Limnography and Oceanography, 2013

Conferences and Archived Papers

2022

Ouabi O., Ridani A., Pomarede P., Declercq N., Zeghidour N., Geist M., Pradalier C. Combined Grid and Feature-based Mapping of Metal Structures with Ultrasonic Guided Waves. International Conference on Robotics and Automation, Philadelphia, USA, 2022.
Cedric Pradalier, Antoine Richard, Pete Schroepfer. A Graph-based Approach to the Initial Guess of UWB Anchor Self-Calibration. 2022.

2021

Richard A, Aravecchia S, Geist M, Pradalier C. Learning Behaviors through Physics-driven Latent Imagination. In 5th Annual Conference on Robot Learning. 2021.
Chahine G, Wishon M. Detecting Overlapping Semiconductor Nanopillars and Characterization. IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET), 2021, Beirut, Lebanon.
Ouabi O., Pribic R., Olaru S. Stochastic Complex-valued Neural Networks for Radar. European Signal Processing Conference 2020, Amsterdam, The Netherlands, January 2021.
Pichenot J., Muller C., Aravecchia S., Pradalier C., Teklelak G., Morand A. Design and test of a semi-automated system based on time-lapse camera trapping for the monitoring of wildlife overpass use by amphibians. International Conference “LIFE LINES – Linear Infrastructure Networks with Ecological Solutions”, January 2021.
Ouabi O., Pomarede P., Geist M., Declercq N., Pradalier C. Monte-Carlo Localization on Metal Plates Based on Ultrasonic Guided Waves. International Symposium on Experimental Robotics, Malta, 2021.
Ridani A., Ouabi O., Declercq N., Pradalier C. On-plate autonomous exploration for an inspection robot using ultrasonic guided waves. European Conference on Mobile Robots, Bonn, Germany, 2021.
Venkataramanan A., Laviale M., Figus C., Usseglio-Polatera P., Pradalier C. Tackling inter-class similarity and intra-class variance for microscopic image-based classification. International Conference on Computer Vision Systems, Austria, 2021.

2020

Oliveira C., Aravecchia S., Pradalier C., Robin V., Devin S. Towards an automatic detection of charcoal production platforms in airborne LiDAR images. 5ème colloque des Zones Ateliers – CNRS, Nov 2020, Blois, France.
Pradalier C., Ouabi O., Pomarede P., Steckel J. On-plate localization and mapping for an inspection robot using guided waves: a proof of concept. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
Wu X., Vela P., Pradalier C. Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
Richard A., Fine L., Rozenstein O., Tanny J., Geist M., and Pradalier C., Filling Gaps in Micro-Meteorological Data, European Conference on Machine Learning, Ghent, Belgium, September 2020.
Benbihi A., Aravecchia S.,Geist M., Pradalier, C. Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description. 2020, International Conference for Robotics and Automation (ICRA), Paris, France, June, 2020 (arXiv:1910.12468)

2019

Bellanger X., Pradalier C., Guilloteau H., Roman V., Merlin C. Identification d’antibiotiques stimulant la dissémination de gènes d’antibiorésistance en concentrations sub-inhibitrices et conséquences au niveau environnemental. IXe Colloque de l’Association Francophone d’Ecologie Microbienne – Bussang (France), 5-8 Novembre 2019.
Pradalier C., Pomarede P., Steckel J. On-plate localization and mapping for an inspection robot using ultrasonic guided waves: a proof of concept. 2019. 〈hal-02290265〉.
Wu X., Pradalier C. Robust Semi-Direct Monocular Visual Odometry Using Edge and Illumination-Robust Cost. 2019 (arxiv 1909.11362) .
Benbihi, A.; Geist, M.; Pradalier, C.; Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation. 26th International Conference on Neural Information Processing (ICONIP), 2019. Sydney, Australia, December 12-15, 2019 (arXiv:1805.04141).
Chahine G., Pradalier C. Laser-Supported Monocular Visual Tracking for Natural Environments. 19th International Conference on Advanced Robotics (ICAR), 2019, Belo Horizonte, Brazil. 〈hal-02307329〉
Mahé A., Richard A., Mouscadet B., Geist M., Pradalier C. Importance Sampling for Deep System Identification. 19th International Conference on Advanced Robotics (ICAR), 2019, Belo Horizonte, Brazil. 〈hal-02278171〉
Richard A., Mahé A., Geist M., Pradalier C. A Comprehensive Benchmark of Neural Networks for System Identification. 2019. 〈hal-02278102〉
Bellanger X., Pradalier C., Guilloteau H., Roman V., Merlin C. When antibiotics stimulate the spread of resistance genes: small doses and dramatic effects. 15^e congrès national de la Société Française de Microbiologie (SFM). Paris (France), 30 Septembre – 2 Octobre 2019 (Invited conference).
Pradalier C., Aravecchia S. and Pomerleau F. Multi-session lake-shore monitoring in visually challenging conditions. hal-01867104, 12th Conference on Field and Service Robotics (FSR), Tokyo, Japan, 2019, preprint.
Fleckenstein F., Winterhalter W., Dornhege C., Pradalier C. and Burgard W. Smooth Local Planning Incorporating Steering Constraints, 12th Conference on Field and Service Robotics (FSR), Tokyo, Japan, 2019, hal-02183027.
Benbihi, A.; Geist, M.; Pradalier, C.; ELF: Embedded Localisation of Features in pre-trained CNN, International Conference on Computer Vision (ICCV), 2019, Seoul, Korea.
Benbihi, A.; Geist, M.; Pradalier, C.; Learning Sensor Placement from Demonstration for UAV networks; International Workshop on Machine Learning for Wireless Communications 2019 (MLWCOM 2019).
Wu X., Benbihi A., Richard A. and Pradalier C. Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry. Submitted to International Conference on Intelligent Robotic and Systems (IROS) 2019, Macau, China.
Wu X. and Pradalier C. Illumination Robust Monocular Direct Visual Odometry for Outdoor Environment Mapping. International Conference on Robotics and Automation (ICRA) 2019, Montréal, Canada.
Wu X., Aravecchia S. and Pradalier C. Design and Implementation of Computer Vision based In-Row Weeding System. International Conference on Robotics and Automation (ICRA) 2019, Montréal, Canada.

2018

Wu X., Pradalier C. Multi-Scale Direct Sparse Visual Odometry for Large-Scale NaturalEnvironment. 3DV 2018 – International Conference on 3D Vision, Sep 5-8, Verona, Italy
Bellanger X., Pradalier C., Guilloteau H., de la Cruz Barrón M., Roman V., Merlin C. Identifying antibiotics triggering the dissemination of resistance genes at low concentrations. Xenowac II • 10-12 October 2018 • Limassol, Cyprus.
Mahé A, Pradalier C, Geist M. Trajectory-control using deep system identification and model predictive control for drone control under uncertain load, 22nd International Conference on System Theory, Control and Computing. Oct 10-12 2018, Sinaia, Romania.
Richard A, Benbihi A, Pradalier C, Perez V, Van Couwenberghe R, Durand P Automated segmentation of land use from overhead imagery. International Conference on Precision Agriculture, June 24th-27th 2018, Montreal, Canada.
Chahine G., Pradalier C. Survey of Monocular SLAM Algorithms in Natural Environments. Conference on Computer and Robot Vision, May 9-11, 2018‍‍‍‍‍‍, Toronto, Canada.

2017

Pradalier C., Griffith S. Long–term monitoring of a natural environment using an automated data-acquisition system. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
Pradalier C., Richard A., Perez V., Van Couwenberghe R., Durand P. Automated recognition of habitat classes from overhead imagery. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
Pradalier C., Chahine G. Long-term quantitative river shore monitoring using a portable imaging suite. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
Pradalier C., Robin V. Automated quantification of charcoal-particle content in peat samples for paleo-ecological studies. ILTER Network, Zones Ateliers and Critical Zone Observatory Networks, 2-4 October 2017, Nantes.
H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: Exploring the effect of antibiotics at sub-MIC level on the activity of mobile genetic elements, 4th International Symposium on the Environmental Dimension of Antibiotic Resistance, Lansing, Michigan (United States), August 2017
H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: When sub-inhibitory concentrations of antibiotics promote the dissemination of unselected resistance genes, 7th Congress of European Microbiologist (FEMS), Valencia (SP), July 2017

2016

H. Scornec, H. Guilloteau, G. Groshenry, C. Pradalier, X. Bellanger, C. Merlin: Exploring the effect of antibiotics at sub-inhibitory concentrations on the activity of promoters involved in the mobility of mobile genetic elements, Plasmid Biology, Cambridge (UK), October 2016
Shane Griffith, Cédric Pradalier: Reprojection Flow for Image Registration Across Seasons, British Machine Vision Conference (BMVC) 2016, York (UK), September 2016
Shane Griffith, Cédric Pradalier: Towards Reprojection Flow for Image Registration Across Seasons, ICRA 2016 Workshop on AI for Long-term Autonomy, Stockholm, May 2016

2015

Shane Griffith, Frank Dellaert, and Cédric Pradalier: Robot–Enabled Lakeshore Monitoring Using Visual SLAM and SIFT Flow, RSS Workshop on Multi VIew Geometry in RObotics (MVIGRO), Roma, July 2015
Shane Griffith, Cédric Pradalier: A Spatially and Temporally Scalable Approach for Long-Term Lakeshore Monitoring, Field and Service Robotics (FSR), Toronto, June 2015

2014

Romain Michalec, Cédric Pradalier: Sidescan Sonar Aided Inertial Drift Compensation in Autonomous Underwater Vehicles, OCEANS’14 MTS/IEEE, St. John’s, September 2014
Alec Jacobson, Daniele Panozzo, Oliver Glauser, Cédric Pradalier, Otmar Hilliges, Olga Sorkine-Hornung: Tangible and Modular Input Device for Character Articulation, 41st conference on computer graphics and interactive techniques (SIGGRAPH), Vancouver, August 2014.
Shane Griffith, Paul Drews, and Cédric Pradalier: Towards Autonomous Lakeshore Monitoring, International Symposium on Experimental Robotics (ISER), Marakesh, June 2014

2013

Hannes Sommer, Cédric Pradalier, Paul Furgale: Automatic Differentiation on Differentiable Manifolds as a Tool for Robotics, International Symposium on Robotic Research, Singapour, December 2013
Siegenthaler, Cédric ; Pradalier, Cédric ; Gunther, Fabian ;Hitz, Gregory ; Siegwart, Roland: System integration and fin trajectory Design for a robotic sea-turtle, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013

Tutorials and Technical Reports

The documents listed below have not been submitted to any conference. They are made available to either document our own software or report on our experience with the software.

Cédric Pradalier: A Task Scheduler for ROS. Introduction to the task_manager framework available on github at https://github.com/cedricpradalier/ros_task_manager, hal-01435823.
Olivier Deiss, Cédric Pradalier: Hadoop for Roboticists: an introduction and evaluation for robotic applications (Special Problem Report), Fall 2016, hal-01435882
Sylvain Chatel, Cédric Pradalier: Mesh Networks for robotic teleoperation: State of the Art and Implementation for Robotics (Special Problem Report), Fall 2016, hal-01435881.
Amandine Gout, Yann Lifchitz, Titouan Cottencin, Quentin Groshens, Jeremy Fix, Cedric Pradalier: Evaluation of Off-The-Shelf CNNs for the Representation of Natural Scenes with Large Seasonal Variations (Special Problem Report), Spring 2016, hal-01448091

Datasets

Shane Griffith, Georges Chahine, Cédric Pradalier: The Symphony Lake Dataset: a 3-year spatio-temporal survey of a 1km lake shore using an autonomous surface vessel.