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VIDAL Nicolas

Tiến sĩ
Nhóm nghiên cứu : SMA
Ngày đi : 28-11-2014
Ban lãnh đạo nghiên cứu : Samir AKNINE
Đồng hướng dẫn : TAILLIBERT Patrick

Moving agents behaviours: a cognitive approach for intention recognition

In a maritime area supervision context, we seek providing a human operator with dynamic information on the behaviors of the monitored entities. Linking raw measurements, coming from sensors, with the abstract descriptions of those behaviors is a tough challenge. This problem is usually addressed with a two-stepped treatment: filtering the multidimensional, heterogeneous and imprecise measurements into symbolic events and then using efficient plan recognition techniques on those events. This allows, among other things, the possibility of describing high level symbolic plan steps without being overwhelmed by low level sensor specificities. However, the first step is information destructive and generates additional ambiguity in the recognition process. Furthermore, splitting the behavior recognition task leads to unnecessary computations and makes the building of the plan library tougher. Thus, we propose to tackle this problem without dividing the solution into two processes. We present a hierarchical model, inspired by the formal language theory, allowing us to describe behaviors in a continuous way, and build a bridge over the semantic gap between measurements and intents. Thanks to a set of algorithms using this model, we are able, from observations, to deduce the possible future developments of the monitored area while providing the appropriate explanations.
Bảo vệ luận án : 28-11-2014 - 14h - Site Jussieu - Salle Jean-Louis Laurière - 25-26/101
Hội đồng giám khảo :
- Samir Aknine, directeur de thèse (LIRIS)
- Philippe Caillou, examinateur (LRI)
- Amal El Fallah Segrouchni, examinateur (LIP6)
- René Mandiau, rapporteur (LAMIH)
- Philippe Mathieu, rapporteur (LIFL)
- Patrick Taillibert, encadrant industriel (LIP6/Thales Systèmes Aéroportés)

Bài báo khoa học 2010-2014

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