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  Automatic Queue Assistance to Aid Under-loaded Drivers
  Laserscanner-based lane detection and relative positioning
  Selective automated driving as a pivotal element to solve safety and environmental issues in personal mobility
  The importance of driver state assessment within highly automated vehicles
  Highly automated vehicles for intelligent transport: HAVEit approach

Laserscanner-based lane detection and relative positioning
The next generations of advanced driver assistance systems (ADAS) will increasingly rely on accurate models of the immediate surrounding of a vehicle. The integrated European research project HAVEit aims on the development and validation of these assistance systems. In particular, the research is directed towards a higher level of automation as compared to the current state-of-the-art. In this paper, we present rst results on how lane and positioning information is retrieved from Laserscanners mounted at the vehicle's front. Both, lane detection and accurate relative positioning of the host vehicle is seen as the basis of most higher level systems. The knowledge of one's own position eases the derivation of other information needed by automated systems.

   HAVEit - Highly Automated Vehicles for Intelligent Transport