ACTIVE AND STATEFUL HYPERSPECTRAL VEHICLE EVALUATION
First Claim
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1. A system for evaluating a vehicle, comprising:
- a plurality of hyperspectral sensors located in the vehicle;
a system for fusing hyperspectral sensor data with user data into a feature vector;
a support vector machine having a set of models, wherein the support vector machine implements a selected model based on the feature vector and outputs an evaluation based on data in the feature vector and the selected model; and
a system for training the set of models.
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Abstract
A system, method and program product for evaluating a vehicle. A system is disclosed that includes: a plurality of hyperspectral sensors located in the vehicle; a system for fusing hyperspectral sensor data with user data into a feature vector; a support vector machine having a set of models, wherein the support vector machine implements a selected model based on the feature vector and outputs an evaluation based on data in the feature vector and the selected model; and a system for training the set of models.
18 Citations
20 Claims
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1. A system for evaluating a vehicle, comprising:
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a plurality of hyperspectral sensors located in the vehicle; a system for fusing hyperspectral sensor data with user data into a feature vector; a support vector machine having a set of models, wherein the support vector machine implements a selected model based on the feature vector and outputs an evaluation based on data in the feature vector and the selected model; and a system for training the set of models. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A program product stored on a computer readable storage medium for evaluating a vehicle, comprising:
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program code for obtaining hyperspectral sensor data from hyperspectral sensors located in the vehicle; program code for fusing the hyperspectral sensor data with user data into a feature vector; program code for implementing a support vector machine having a set of models, wherein the support vector machine implements a selected model based on the feature vector and outputs an evaluation based on data in the feature vector and the selected model; and program code for training the set of models. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method of evaluating a vehicle, comprising:
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obtaining hyperspectral sensor data from hyperspectral sensors located in the vehicle; fusing the hyperspectral sensor data with user data into a feature vector; and providing a support vector machine having a set of models, wherein the support vector machine implements a selected model based on the feature vector and outputs an evaluation based on data in the feature vector and the selected model. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification