FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing

2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)(2021)

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摘要
Existing research on parking availability sensing mainly relies on extensive contextual and historical information. In practice, the availability of such information is a challenge as it requires continuous collection of sensory signals. In this study, we design an end-to-end transfer learning framework for parking availability sensing to predict parking occupancy in areas in which the parking dat...
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关键词
Pervasive computing,Adaptation models,Urban areas,Transfer learning,Sea measurements,Predictive models,Data models
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