Fuzzy Querying of Evolutive Situations: Application to Driving Situations
Sabiha Ould Yahia, and Sophie Loriette-Rougegrez
ISTIT laboratory, University of Technology of Troyes, 12 rue Marie Curie, BP 2060 10010 Troyes, France
The study of the human behavior in driving situations is of primary importance for the improvement of drivers security. This study is complex because of the numerous situations in which the driver may be involved. The objective of the CASSICE project (Symbolic Characterization of Driving Situations) is to elaborate a tool in order to simplify the analysis task of the driver’s behavior. In this paper, we will mainly take an interest in the indexing and querying of a multimedia database including the numerical data and the video sequences relating to a type of driving situations. We will put the emphasis on the queries to this database. They are often complex because they are formulated according to criteria depending on time, space and they use terms of the natural language.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.