Driving situation recognition with uncertainty management and rule-based systems - Archive ouverte HAL Access content directly
Journal Articles Engineering Applications of Artificial Intelligence Year : 2002

Driving situation recognition with uncertainty management and rule-based systems

(1) , (1) , (2, 3)
1
2
3

Abstract

The recognition of a temporal sequence is a complex problem, especially in the framework of driving situations. However, this recognition is essential for the development of driving assistance systems. This paper presents a rule-based system that manages the real-time measurements got from sensors of an experimental vehicle, in order to determine the current possible maneuvers worked out by the driver. The particularity of the proposed system is that it manages the inaccuracy of the data and the uncertainty of the recognition, using fuzzy subsets and beliefs on hypotheses.

Dates and versions

hal-02308784 , version 1 (08-10-2019)

Identifiers

Cite

Jean-Marc Nigro, Sophie Loriette-Rougegrez, Michèle Rombaut. Driving situation recognition with uncertainty management and rule-based systems. Engineering Applications of Artificial Intelligence, 2002, 15 (3-4), pp.217-228. ⟨10.1016/S0952-1976(02)00070-2⟩. ⟨hal-02308784⟩
15 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More