@INPROCEEDINGS{Lattner2005a,
  author = {Lattner, Andreas D. and Gehrke, Jan D. and Timm, Ingo J. and Herzog,
	Otthein},
  title = {A Knowledge-based Approach to Behavior Decision in Intelligent Vehicles},
  booktitle = {IEEE Intelligent Vehicles Symposium},
  year = {2005},
  pages = {466--471},
  address = {Las Vegas, NV, USA},
  month = {June6--8},
  publisher = {IEEE},
  abstract = {Recent advances in the field of intelligent vehicles have shown that
	it is possible nowadays to provide the driver with useful assistance
	systems, or even letting a car drive autonomously over long distances
	on highways. Usually these approaches are on a rather quantitative
	level. A knowledge-based approach as presented here has the advantage
	of a better comprehensibility and allows for formulating and using
	common sense knowledge and traffic rules while reasoning. In our
	approach a knowledge base is the central component for higher-level
	functionality. A qualitative mapping module abstracts from the quantitative
	data and stores symbolic facts in the knowledge base. The knowledge-based
	approach allows for easily integrating and adjusting background knowledge.
	Higher-level modules can query the knowledge base in order to evaluate
	the situation and decide what actions to perform. For the evaluation
	of the approach a prototype was developed in order to simulate traffic
	scenarios. In experiments behavior decision was applied for controlling
	the vehicle and its gaze.},
  doi = {10.1109/IVS.2005.1505147},
  keywords = {Intelligent Vehicles},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/2005/lattneretal05iv.pdf}
}