Using simple scenarios for wheelchair driving assistance
Article first published online: 9 AUG 2012
© 2012 Wiley Publishing Ltd
Volume 30, Issue 3, pages 255–269, July 2013
How to Cite
Cablé, B., Loriette, S. and Nigro, J.-M. (2013), Using simple scenarios for wheelchair driving assistance. Expert Systems, 30: 255–269. doi: 10.1111/j.1468-0394.2012.00636.x
- Issue published online: 17 JUL 2013
- Article first published online: 9 AUG 2012
- ynamic situations;
- case-based reasoning;
- real time
Artificial intelligence can be used to recognize and anticipate dynamic situations. Several computational methods based on mathematical tools already exist, but most of the time their implementation is complex and takes a long time to execute.
In this article, we propose another learning and anticipation method in order to assist users in dynamic situations. We call it ‘scenario-based reasoning’ algorithm. It is inspired by case-based reasoning. It works with symbolic data and its aim is to make real-time predictions. To do so, manipulated knowledge is specially designed to limit our solution's complexity and to facilitate learning and anticipation.