System and method for real-time recognition of driving patterns
First Claim
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1. A method for optimizing driver-vehicle performance in a driver operated vehicle, said method comprising:
- collecting, on a substantially real-time basis, multiple measurements of at least one driver characteristic by direct body scan of an active driver of a vehicle;
predicting a current driving environment within which the vehicle is presently being driven from a computer-based evaluation of said measurements; and
adapting at least one performance characteristic of the vehicle based on said evaluation and thereby potentiating the vehicle'"'"'s performance for the predicted driving environment.
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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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Citations
20 Claims
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1. A method for optimizing driver-vehicle performance in a driver operated vehicle, said method comprising:
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collecting, on a substantially real-time basis, multiple measurements of at least one driver characteristic by direct body scan of an active driver of a vehicle; predicting a current driving environment within which the vehicle is presently being driven from a computer-based evaluation of said measurements; and adapting at least one performance characteristic of the vehicle based on said evaluation and thereby potentiating the vehicle'"'"'s performance for the predicted driving environment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification