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- | === PhD proposal on mixed reality for robotics | + | ==PhD Position== |
- | =** Thesis proposal title ** Adaptive human-machine interface (HMI) for intelligent vehicle take over in virtual environment (Human-in-the-Loop) in critical situations= | + | |
- | ** PhD grant ** Doctoral work contract based on a Ministry of Research Grant | + | |
- | ** Research laboratory ** unité de recherche : UMR CNRS Heudiasyc | + | |
- | ** Research team ** SYRI | + | |
- | web site: https:// | + | |
- | ** Thesis supervisors ** Indira Thouvenin ECC HDR, Reine Talj CR CNRS HDR | + | Analysis |
- | ** Scientific domains ** Computer science and information technologies | + | |
- | Science and technology | + | * CNRS Lab* UMR Heudiasyc SYRI team Domain: Virtual Reality\\ |
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- | ** Research work ** Despite advances in vehicle automation technology, decision-making aspects remain far from being able to replace human intelligence in all circumstances, | + | |
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- | The cooperation between the human driver | + | |
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- | The first reaction of the automated vehicle at low speed results in braking when an obstacle arrives, while at high speed, it results in obstacle avoidance based on a lateral movement of the vehicle. However, in the event of a limitation of the autonomous system, it is important to give control back to the driver, and for this, the latter must be attentive, available and responsive. Work on regaining control shows that sensory | + | |
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- | We therefore propose to design adaptive, dynamic sensory feedback to avoid this pitfall. Our work will be based on the attention model [1] and the human system cooperation model [2] already existing in the laboratory, and which will be extended to the target situation. The control of the scenarios in the driving simulator (CAVE) will allow us to create and validate our model. Our HMI will be able to adapt to the behavior of the driver and will take into account the cooperative control of the vehicle: in this way the driver will be able to understand the decisions of the cooperative mode. | + | |
- | [1] Baptiste Wojtkowski, Indira Thouvenin, Veronica Teichrieb: AMI: Attention based Adaptative Feedback with Augmented Reality to Improve Takeover Performances in Highly Automated Vehicles. VISIGRAPP (2: HUCAPP) 2022: 99-107. | + | |
- | [2] A. Hamdan, R. Talj et V. Cherfaoui, “A Fuzzy Logic Shared Steering Control Approach for Semi-Autonomous Vehicle”, 20th International Conference on Advanced Robotics (ICAR), Dec. 2021, Ljubljana, Slovenia. | + | |
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- | Key words Semi-autonomous vehicle, informed interaction, | + | |
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- | === Une question sur les femmes en sciences et technologie ?=== | + | |
- | https://youtu.be/ | + | |
- | ===Nomminés Prix Roberval 2021 === | + | |
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- | ==Webinar Techniques de l' | + | |
- | https://www.techniques-ingenieur.fr/actualite/articles/ | + | |
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- | === Projets in virtual reality CAVE TRANSLIFE === | + | |
- | **[[Socialtouch ANR project]]https:// | + | |
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- | **Augmented reality for driving assitance** | + | |
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- | My recent présentation at IRISA Rennes | + | |
- | https:// | + | |
+ | ==RADIO EUROPE 1== | ||
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+ | [[https:// | ||