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10 résultats
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InFuse: A Comprehensive Framework for Data Fusion in Space Robotics14th Symposium on Advanced Space Technologies in Robotics and Automation, Jun 2017, Leiden, Netherlands. 8p
Communication dans un congrès
hal-01536099v1
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The Erfoud dataset: a comprehensive multi-camera and Lidar data collection for planetary exploration15th Symposium on Advanced Space Technologies in Robotics and Automation, May 2020, Noordwijk, Netherlands
Communication dans un congrès
hal-02994401v1
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Deep Bayesian ICP Covariance EstimationIEEE International Conference on Robotics and Automation (ICRA 2022), May 2022, Philadelphia, United States. pp.6519-6525, ⟨10.1109/ICRA46639.2022.9811899⟩
Communication dans un congrès
hal-03766231v1
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Enabling active perception through data quality assessment: a visual odometry case14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), Jun 2018, Madrid, Spain
Communication dans un congrès
hal-02092228v1
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Towards a versatile framework to integrate and control perception processes for autonomous robots12th national conference on Software & Hardware Architectures for Robots Control & Autonomous CPS (SHARC), Jun 2017, Toulouse, France. 5p
Communication dans un congrès
hal-01552360v1
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InFuse Data Fusion Methodology for Space Robotics, Awareness and Machine Learning69th International Astronautical Congress, Oct 2018, Bremen, Germany
Communication dans un congrès
hal-02092238v1
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A common data fusion framework for space robotics: architecture and data fusion methods14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), Jun 2018, Madrid, Spain
Communication dans un congrès
hal-02092232v1
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DUNE: Deep UNcertainty Estimation for tracked visual featuresIPAS 2022 - 5th IEEE International Conference on Image Processing, Applications and Systems (IPAS 2022), Dec 2022, Genova, Italy. ⟨10.1109/PRDC55274.2022.00021⟩
Communication dans un congrès
hal-03790281v1
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Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry MethodsIEEE Robotics and Automation Letters, 2020, 5 (4), pp.6536 - 6543. ⟨10.1109/LRA.2020.3015695⟩
Article dans une revue
hal-02908925v1
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DUNE-M : un estimateur local d'incertitude sur la position des points d'intérêt évolutif dans le tempsGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France
Communication dans un congrès
hal-04299044v2
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