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PhD in Intelligent Vehicles Technology
Organization: Delft University of Technology
Location: Delft, Netherlands
Field: Technology
Requirements:
Candidates should have an MSc degree in Artificial Intelligence or Computing Science. Ideally, candidates have experience with cognitive modelling, modelling of dynamical systems, simulation and (real-time) programming. Candidates who have an MSc degree in another field may also apply but will need to show they have the required experience in programming and a background in traffic management systems or intelligent vehicles.
Abstract:
Vehicles that can drive themselves are becoming reality (see http://viac.vislab.it/). Google Car is an example based on technology developed for the DARPA Urban Challenge.
Description:
In this project, intelligent cognitive agents will be built that model the human driver and thus have the knowledge needed to control a vehicle with or without human interaction. Intelligent agents on board of vehicles make it possible to increase drivers’ situation awareness, using data the agents collect, integrated with data from other vehicles and from intelligent road infrastructure. Agents will also support the driver in communications with other vehicles to improve traffic throughput and safety. Some of the driving tasks can even be handled by intelligent agents without any driver input. To this end, agents receive traffic management instructions from the roadside and communicate with other vehicles. Your job is to design and engineer these agents and to test them in a simulated environment. A simulation environment is already available, as is the basic functionality for the agent to control the vehicle. Data on human driving is also available to test the validity of the agent technology. You will be part of a team supervised by Prof. C.M. Jonker, Prof. F.M. Brazier, Dr. K.V. Hindriks, and Dr. J. Vrancken (TUD). The job is part of a larger project on Smart Roads that aims to improve road traffic.
Deadline: 18-04-2011
Contacts:
Link: http://www.tudelft.nl
Email: peno-ewi@tudelft.nl
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