Sébastien Dourlens

In this paper, we present the functionalities of an intelligent connected vehicle. It is equipped with various sensors and connected objects that enable communication between the driver and its environment. This system provides assistance towards safe and green driving. The driving assistance may be directed towards the driver (semi-autonomous vehi...

This paper presents our proposed multimodal system that is composed of fusion and fission engines that take into account the contextual information of the user. The fusion engine combines various input modalities to determine the overall context of a given situation. It yields the situation that needs action. This action is subdivided into smaller...

"Serious Gaming for the Elderly" is an undertaking that is intended to contribute to the promotion of autonomy and good health for the elderly. Its principal users are the old people, normally in their retirement age. They are given physical activity challenges as well as mental challenge and an option to participate in events with their peers. The...

In this paper, we present an architecture that demonstrates multimodal fusion and fission using semantic agents and web services that interacts with worldwide-web computers, services and users. This solution extracts the meaning of a situation using the semantic memory of agents to manage the interaction process involved. The fusion of values from...

In this paper, we present our techniques of multimodal fusion and fission for an intelligent robotic application. The fusion of data from different sensors produces an event that needs implementation. The fission process produces a detailed set of actions that are to be implemented. Before such set of actions is implemented, this set of actions is...

Presentation for NC98 Conference about Self Driving Car made with PSA on Citroen XM embedded in C5 and C6 cars later.

Intelligent Control Abstract in 1998

French presentation of Machine learning done in 1998

Since 1960, AI researchers have worked on intelligent and reactive architectures capable of managing multiple events and acts in the environment. This issue is part of the Robotics domain. An extraction of meaning at different levels of abstraction and the decision process must be implemented in the robot brain to accomplish the multimodal interact...

A system should be able to interact with an ubiquitous network of heterogeneous sensors and actuators in order to exploit the maximum of information. Events intensive environment, reactive systems, multiple communication languages and integration of various devices make the architecture and the final system so complex than performance and efficienc...

There still exist many fields in which ways are to be explored to improve the human-system interaction. These systems must have the capability to take advantage of the environment in order to improve interaction. This extends the capabilities of system (machine or robot) to better reach natural language used by human beings. We propose a methodolog...

This paper presents a semantic architecture for solving multimodal interaction. Our architecture is based on multi agent systems where agents are purely semantic using ontologies and inference system. Multi levels concepts and behavioural models are taken into account to bring a fast high level reasoning on a big amount of percepts and low level ac...

There still exist many fields in which ways are to be explored to improve the human-system interaction. These systems must have the capability to take advantage of the environment in order to improve interaction. This extends the capabilities of system (machine or robot) to better reach natural language used by human beings. We propose a methodolog...

Understanding environment is a very complex task. Modeling and development of components of the environment in a symbolic way permit to simplify and clarify functional parts of components and interactions. In order to have a complete system specification, a rigorous behavior description is needed. Different levels of behavior abstraction are taking...

This paper presents a platform that allows information management in mechatronics systems development process. The main problem focused is the material selection for a spare part of a mechatronic complex system. Within the O2M mechatronics project, a database and its access platform has been developed. This platform aims at understanding the proces...

This paper presents a new platform integrating expert knowledge and different software products in an optimization loop, to optimize the design of mechatronic components in the project lifecycle management (PLM). These components are part of an automotive product and they contain different parts constituted by different materials. All providers of...

Understanding environment is a very complex task to solve. Modeling and Development of components of the environment in a symbolic way permit to simplify and clarify functional parts of components and interactions. In order to have a complete system specification, a rigorous behavior description is needed. Different levels of abstraction of behavio...

Robot software tend to be complex due to management of sensors and actuators in real time facing uncertainty and noise and the more complex tasks to realize in different situations like the human robot multimodal interaction task. This implies a large amount of events to exchange and to process. Robotics intelligent Architecture must be well-concei...

Since 1960, AI researchers have worked on intelligent and reactive architectures capable of managing multiple events and acts in the environment. This issue is part of the Robotics domain. An extraction of meaning at different levels of abstraction and the decision process must be implemented in the robot brain to accomplish the multimodal interact...

Pervasive environments become a reality and involve a large variety of networking smart devices. This ambient intelligence tends to complex interactions. Lots of researches have been done on intelligent and reactive architectures able to manage multiple events and act in the environment. In the Robotics domain, a decision process must be implement...

Since 1960, lots of AI researchers work on intelligent and reactive architectures able to manage multiple events and act in the environment. This issue is also part of Robotics domain. A decision process must be implemented in the robot brain to accomplish the multimodal interaction with human in human environment. In this article, we present a sem...

This paper presents a Memory Neuron Network (MNN) controller for the lateral position control of a vehicle on highway in the aim to increase the traffic safety. We first present an enhanced MNN with its fast learning algorithm based on double backpropagation. Then we describe experiments achieved in collaboration with the French car manufacturer gr...

Neuro-cryptographie appliquée et NeuroCryptanalyse du DES Rapport de Maitrise 1995-1996 par Sébastien Dourlens