Context Presentation
Connected autonomous vehicles of level 3 are vehicles in which the human driver delegates driving control in specific situations. During these situations, it may be necessary for the human to regain control of the driving activity. The main objective of this thesis is to develop a system for the safe and efficient transition of two-way control between the human and the autonomous vehicle.
For this, the system must identify by self-observation and in real time situations in which the current driver will no longer be able to ensure driving. He must also provide a context for assessing the criticality of the situation as quickly as possible in order to anticipate and react to it as best as possible. The driving context is composed of indicators that characterize the elements that describes part of the driving process. The system is based on self-adaptive multi-agent learning systems.
Figure 1: Dynamic Learning using self-adaptive multi-agent system
Scientific Goals
- Dynamic learning using multi-agent systems
- Generic approach to supervise the activity of a system
- Insure the acceptability of the system by human driver
Keywords
self-adaptive multi-agent systems, autonomous vehicle
Contacts
kristell.aguilar-alarcon@irit.frmarie-pierre.gleizes@irit.frloic.caroux@univ-tlse2.fr
