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In this chapter, we explore shape representation, registration and modeling through implicit functions. To this end, we propose novel techniques to global and local registration of shapes through the alignment of the corresponding distance transforms, that consists of defining objective functions that minimize metrics between the implicit representations of(More)
Vehicular social network (VSN) is envisioned to serve as an essential data sensing, exchanging and processing platform for the future Intelligent Transportation Systems. In this paper, we aim to address the location privacy issue in VSNs. In traditional pseudonym-based solutions, the privacy-preserving strength is mainly dependent on the number of vehicles(More)
As one of the promising branches of the Internet of Things, the cloud-enabled Internet of Vehicles (CE-IoV) is envisioned to serve as an essential data sensing, exchanging, and processing platform with powerful computing and storage capabilities for future intelligent transportation systems. The CE-IoV shows great promise for various emerging applications.(More)
Vehicular networks are expected to accommodate a large number of data-heavy mobile devices and multi-application services. Whereas, it faces a significant challenge when we need to deal with the ever-increasing demand of mobile traffic. In this paper, we present a new paradigm of 5G-enabled vehicular networks to improve the network capacity and the system(More)
Cloud-enabled vehicular networks are a new paradigm to improve the quality of vehicular services, which have drawn considerable attention in industry and academia. In this paper, we consider the resource management and sharing problem for bandwidth and computing resources to support mobile applications in cloud-enabled vehicular networks. In such an(More)
The vehicular cloud is a promising new paradigm where vehicular networking and mobile cloud computing are elaborately integrated to enhance the quality of vehicular information services. Pseudonym is a resource for vehicles to protect their location privacy, which should be efficiently utilized to secure vehicular clouds. However, only a few existing(More)
Vehicular social network is envisioned to serve as an essential data sensing, exchanging and processing platform for the future intelligent transportation systems. However, large-scale and concurrent appearing vehicles bring new challenge to existing location privacy protection schemes in vehicular social networks. These schemes only enable privacy(More)