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- W2281530509 abstract "Knowledge of human presence and interaction in a vehicle is of growing interest to vehicle manufacturers for design and safety purposes. We present a framework to perform the tasks of occupant detection and occupant classification for automatic child locks and airbag suppression. It operates for all passenger seats, using a single overhead camera. A transfer learning technique is introduced to make full use of training data from all seats whilst still maintaining some control over the bias, necessary for a system designed to penalize certain misclassifications more than others. An evaluation is performed on a challenging dataset with both weighted and unweighted classifiers, demonstrating the effectiveness of the transfer process." @default.
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- W2281530509 date "2015-12-22" @default.
- W2281530509 modified "2023-09-27" @default.
- W2281530509 title "Cost-based Feature Transfer for Vehicle Occupant Classification" @default.
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