Experimental System to Support Real-Time Driving Pattern Recognition

Authors:
Vincenzo Lecce;Marco Calabrese
Affiliations:
Politecnico di Bari - DIASS, Taranto, Italy 74100;Politecnico di Bari - DIASS, Taranto, Italy 74100
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

Citing 4
Cited 0

An experiment in linguistic synthesis with a fuzzy logic controller

International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
Knowledge Representation in Fuzzy Logic

IEEE Transactions on Knowledge and Data Engineering
Driver Identification Using Driving Behavior Signals

IEICE - Transactions on Information and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work proposes an advanced driving information system that, using the acceleration signature provided by low cost sensors and a GPS receiver, infers information on the driving behaviour. The proposed system uses pattern matching to identify and classify driving styles. Sensor data are quantified in terms of fuzzy concepts on the driving style. The GPS positioning datum is used to recognize trajectory (rectilinear, curving) while the acceleration signature is bounded within the detected trajectory. Rules of inference are applied to the combination of the sensor outputs. The system is real-time and it is based on a low-cost embedded lightweight architecture which has been presented in a previous work.