Dominique Vaufreydaz
6
Documents
Présentation
Professeur des Universités à l'[Université Grenoble Alpes](https://www.univ-grenoble-alpes.fr/), chercheur au [laboratoire LIG](https://www.liglab.fr/), responsable de l'équipe [M-PSI](https://www.m-psi.fr/)
Mots clés: *perception multimodale des personnes et des groupes, informatique affective, espaces perceptifs, technologies pour la santé*
Full Professor at [University Grenoble Alpes](https://www.univ-grenoble-alpes.fr/en/), researcher at the [LIG ](https://www.liglab.fr/) laboratory, [M-PSI](https://www.m-psi.fr/) team leader.
Keywords: *multimodal perception of people and groups, affective computing, smart spaces, healthcare technologies*
Publications
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Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-NetworkICARCV - 16th International Conference on Control, Automation, Robotics and Vision, Dec 2020, Shenzhen, China. pp.1-9
Communication dans un congrès
hal-02977009v1
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eHMI positioning for autonomous vehicle/pedestrians interactionIHM 2019 - 31e conférence francophone sur l'Interaction Homme-Machine, Dec 2019, Grenoble, France. pp.1-8, ⟨10.1145/3366551.3370340⟩
Communication dans un congrès
hal-02388847v1
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Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental DataICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Nov 2018, Singapore, Singapore. pp.1-12
Communication dans un congrès
hal-01875147v1
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Personal space of autonomous car's passengers sitting in the driver's seatIV'2018 - The 29th IEEE Intelligent Vehicles Symposium, Jun 2018, Changshu, Suzhou, China. pp.2022-2029, ⟨10.1109/IVS.2018.8500648⟩
Communication dans un congrès
hal-01786006v1
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Urban Pedestrian Behaviour Modelling using Natural Vision and Potential Fields9th Workshop on Planning, Perception and Navigation for Intelligent Vehicles at the IEEE International Conference on Intelligent Robots and Systems, Sep 2017, Vancouver, Canada
Communication dans un congrès
hal-01578741v1
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Natural Vision Based Method for Predicting Pedestrian Behaviour in Urban EnvironmentsIEEE 20th International Conference on Intelligent Transportation Systems, Oct 2017, Yokohama, Japan. ⟨10.1109/ITSC.2017.8317848⟩
Communication dans un congrès
hal-01561029v1
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