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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:// | + | |
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- | ** Thesis supervisors ** Indira Thouvenin ECC HDR, Reine Talj CR CNRS HDR | + | |
- | ** Scientific domains ** Computer science and information technologies | + | |
- | Science and technology | + | |
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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 and the autonomous system is then essential for the actuation of the vehicle which requires that the human-system interaction is adapted in real time to the situation, the state of the vehicle and the state. of the driver. We are interested in this project in the sudden arrival of an obstacle putting in default the autonomous system. | + | |
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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 feedback is a powerful means of arousing the driver' | + | |
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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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- | Requirements\\ • Engineering or master' | + | |
- | • Knowledge required in automation / robotics, and/or in virtual reality, HMI and computer science\\ | + | |
- | • Interest in experimental work, and in protocols implementation including human in the loop\\ | + | |
- | • A plus: knowledge on NASA TLX and Presence questionnaires, | + | |
- | Starting time 01/ | + | |
- | Location Heudiasyc laboratory, Compiègne, FRANCE\\ | + | |
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- | Duration 36 months\\ | + | |
- | Additional missions available Teaching, | + | |
- | Research laboratory Virtual, | + | |
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- | Material resources CAVE immersive room including the driving simulator\\ | + | |
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- | Human resources (33 permanent EC, 6 CNRS researchers, | + | |
- | Financial resources | + | |
- | Working conditions expected autonomy, missions (e.g. project follow-up, organization of meetings, etc.), weekly meetings with the thesis supervisors\\ | + | |
- | Research project MESR | + | |
- | National collaborations The Institute of Movement Sciences, DR CNRS Daniel Mestre, is a privileged partner\\ | + | |
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- | **Contact**// | + | |
- | **Indira Thouvenin** Indira.thouvenin@utc.fr / +33 3 44 23 45 47\\ | + | |
- | **Reine Talj** Reine.talj@hds.utc.fr/ | + | |
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- | Please contact first the thesis supervisor before applying online | + | |
- | on https:// | + | |
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- | ________________________________________________________________________________________________________________________ | + | |
+ | Analysis of complex data by using Immersive Analytics and informed interaction with audio feedback ☛[[https:// | ||
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+ | * CNRS Lab* UMR Heudiasyc SYRI team Domain: Virtual Reality\\ | ||
+ | ==RADIO EUROPE 1== | ||
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+ | [[https:// | ||