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Real-time recognition of large-scale driving patterns
This work has explored the possibilities of real-time, automatic, recognition of large-scale driving situations. Employing a statistical pattern recognition framework, implemented by means of feedforward neural networks, models were developed for recognising, from vehicle control data, four classes of driving situations: highway, main road, suburban traffic and city traffic.
Real-time recognition of large-scale driving patterns
This work has explored the possibilities of real-time, automatic, recognition of large-scale driving situations. Employing a statistical pattern recognition framework, implemented by means of feedforward neural networks, models were developed for recognising, from vehicle control data, four classes of driving situations: highway, main road, suburban traffic and city traffic.
Real-time recognition of large-scale driving patterns
Engstrom, J. (Autor:in) / Victor, T. (Autor:in)
01.01.2001
510230 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Real-Time Recognition of Large-Scale Driving Patterns
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