Thierry Peynot
Orcid: 0000-0001-8275-6538
According to our database1,
Thierry Peynot
authored at least 49 papers
between 2003 and 2024.
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Bibliography
2024
ForestTrav: 3D LiDAR-Only Forest Traversability Estimation for Autonomous Ground Vehicles.
IEEE Access, 2024
2023
ForestTrav: Accurate, Efficient and Deployable Forest Traversability Estimation for Autonomous Ground Vehicles.
CoRR, 2023
2022
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
Field Robotics, March, 2022
IEEE Robotics Autom. Lett., 2022
Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
Refractive Light-Field Features for Curved Transparent Objects in Structure From Motion.
IEEE Robotics Autom. Lett., October, 2021
What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles.
J. Field Robotics, 2021
An evaluation of a video magnification-based system for respiratory rate monitoring in an acute mental health setting.
Int. J. Medical Informatics, 2021
PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network.
CoRR, 2021
2020
Probe-before-step walking strategy for multi-legged robots on terrain with risk of collapse.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Autonomous Human Tracking using UWB sensors for mobile robots: An Observer-Based approach to follow the human path.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
TIMTAM: Tunnel-Image Texturally Accorded Mosaic for Location Refinement of Underground Vehicles With a Single Camera.
IEEE Robotics Autom. Lett., 2019
Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion.
IEEE Robotics Autom. Lett., 2019
Dense-ArthroSLAM: Dense Intra-Articular 3-D Reconstruction With Robust Localization Prior for Arthroscopy.
IEEE Robotics Autom. Lett., 2019
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the Field and Service Robotics, 2019
2018
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018
ArthroSLAM: Multi-Sensor Robust Visual Localization for Minimally Invasive Orthopedic Surgery.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Semi-Supervised SLAM: Leveraging Low-Cost Sensors on Underground Autonomous Vehicles for Position Tracking.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
IEEE Robotics Autom. Lett., 2017
Evaluation of Keypoint Detectors and Descriptors in Arthroscopic Images for Feature-Based Matching Applications.
IEEE Robotics Autom. Lett., 2017
2016
Nonparametric Traversability Estimation in Partially Occluded and Deformable Terrain.
J. Field Robotics, 2016
2015
J. Field Robotics, 2015
Proceedings of the 18th International Conference on Information Fusion, 2015
Learned ultra-wideband RADAR sensor model for augmented LIDAR-based traversability mapping in vegetated environments.
Proceedings of the 18th International Conference on Information Fusion, 2015
2014
Learned Stochastic Mobility Prediction for Planning with Control Uncertainty on Unstructured Terrain.
J. Field Robotics, 2014
Enhanced Stochastic Mobility Prediction on Unstructured Terrain Using Multi-output Gaussian Processes.
Proceedings of the Intelligent Autonomous Systems 13, 2014
Proceedings of the Intelligent Autonomous Systems 13, 2014
Robust multiple-sensing-modality data fusion using Gaussian Process Implicit Surfaces.
Proceedings of the 17th International Conference on Information Fusion, 2014
2013
Selective Combination of Visual and Thermal Imaging for Resilient Localization in Adverse Conditions: Day and Night, Smoke and Fire.
J. Field Robotics, 2013
A near-to-far non-parametric learning approach for estimating traversability in deformable terrain.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Augmenting traversability maps with ultra-wideband radar to enhance obstacle detection in vegetated environments.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Traversability estimation for a planetary rover via experimental kernel learning in a Gaussian process framework.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the Field and Service Robotics, 2013
2012
Motion planning and stochastic control with experimental validation on a planetary rover.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the Intelligent Autonomous Systems 12, 2012
2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
2010
Error modeling and calibration of exteroceptive sensors for accurate mapping applications.
J. Field Robotics, 2010
The Marulan Data Sets: Multi-sensor Perception in a Natural Environment with Challenging Conditions.
Int. J. Robotics Res., 2010
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, 2010
Perception Quality Evaluation with Visual and Infrared Cameras in Challenging Environmental Conditions.
Proceedings of the Experimental Robotics, 2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
2006
Proceedings of the Experimental Robotics, 2006
2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
2003
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003