by Miene, Andrea, Lattner, Andreas D., Visser, Ubbo and Herzog, Otthein
Abstract:
Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.
Reference:
Miene, Andrea, Lattner, Andreas D., Visser, Ubbo and Herzog, Otthein, "Dynamic-Preserving Qualitative Motion Description for Intelligent Vehicles", In Proceedings of the IEEE Intelligent Vehicles Symposium (IV '04), pp. 642–646, 2004.
Bibtex Entry:
@INPROCEEDINGS{Miened,
author = {Miene, Andrea and Lattner, Andreas D. and Visser, Ubbo and Herzog,
Otthein},
title = {Dynamic-Preserving Qualitative Motion Description for Intelligent
Vehicles},
booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV '04)},
year = {2004},
pages = {642--646},
month = {June14--7},
abstract = {Planning, acting, and recognizing intentions of participants in traffic
situations requires the processing of complex spatio-temporal situations.
If spatio-temporal information was represented quantitatively it
would result in a huge amount of data. We claim that an abstraction
to a qualitative description leads to more stable representations
as similar situations at the quantitative level are mapped to one
qualitative representation. Our approach is evaluated by emulating
traffic situations with settings in the Robocup small-sized league.},
keywords = {Intelligent Vehicles},
owner = {pmania},
timestamp = {2012.11.06},
url = {http://www-agki.tzi.de/grp/ag-ki/download/2004/mieneetal04.pdf}
}