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7 résultats
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AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Sep 2023, Bilbao, France
Communication dans un congrès
hal-04331629v1
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Multitask Metamodel for Keypoint Visibility Prediction in Human Pose EstimationInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), Feb 2022, Virtual Conference, France. ⟨10.5220/0010831200003124⟩
Communication dans un congrès
hal-03471147v1
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A glimpse at the first results of the AutoBehave project: a multidisciplinary approach to evaluate the usage of our travel time in self-driving carsRoBustness and Reliability of Autonomous Vehicles in the Open-world workshop in conjunction with International Conference on Computer Vision, Dec 2023, Paris, France
Communication dans un congrès
hal-04331707v1
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AutoExp: A multidisciplinary, multi-sensor framework to evaluate the acceptability of self-driving cars[Research Report] LIRIS UMR 5205 CNRS/INSA de Lyon/Université Claude Bernard Lyon 1/Université Lumière Lyon 2/École Centrale de Lyon. 2022
Rapport
hal-03825090v1
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DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings2nd Autonomous Vehicle Vision (AVVision) - International Conference on Computer Vision (ICCV) Workshop, Oct 2021, Virtual Conference, France. ⟨10.1109/ICCVW54120.2021.00321⟩
Communication dans un congrès
hal-03380579v1
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Synthetic Driver Image Generation for Human Pose-Related TasksInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), Feb 2023, Lisbonne, Portugal. ⟨10.5220/0011780800003417⟩
Communication dans un congrès
hal-03936401v1
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Estimation de poses humaines par apprentissage profond : application aux passagers des véhicules autonomesVision par ordinateur et reconnaissance de formes [cs.CV]. Université Lumière Lyon 2, 2024. Français. ⟨NNT : ⟩
Thèse
tel-04496865v1
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