System and method for real-time recognition of driving patterns

Details System and method for real-time recognition of driving patterns System and method for real-time recognition of driving patterns

2005-04-12

2005-04-12

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Neural network

Learning task

C706S012000

Reexamination Certificate

active

06879969

ABSTRACT:
System and method for real-time, automatic, recognition of large time-scale driving patterns employs a statistical pattern recognition framework, implemented by means of feed-forward neural network utilizing models developed for recognizing, for example, four classes of driving environments, namely highway, main road, suburban traffic and city traffic, from vehicle performance data. A vehicle control application effects changes in vehicle performance aspects based on the recognized driving environment.

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Bellet T., Bruyas MP., Tattegrain-Veste H., Forzy JF., Simoes A., Carvalhais J., Lockwood P., Boudy J., Baligand B., Damiani S., and Opitz M.; “Real-Time” Analysis of the Driving Situation in Order to Manage On-Board Information, pp. 1-8; French National Institute For Transport Safety Research (INRETS).

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