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LSSDVC: A Location-based VANET Caching Method with Semi-SDN Paradigm
Vehicular Ad Hoc Networks (VANET) are anticipated to support a wide array of future applications, including accident warnings, traffic information exchange, and real-time navigation updates. However, as VANETs have evolved from Mobile Ad Hoc Networks (MANET), traditional communication methods in…
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PSNVC: A Novel Physical-Based Vanet Caching Framework by Integrating SDN and NDN Paradigm
With the growing demand for on-board services, Vehicular Ad-hoc Network (VANET) caching technologies have attracted significant attention in both academia and industry. In VANET, vehicles request data by broadcasting to network nodes and caching the received data locally. However, the…
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DPNVC: A novel density-based probability VANET caching framework built upon the NDN
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Fully-Autonomous, Vision-based Traffic Signal Control: From Simulation to Reality
Ineffective traffic signal control is one of the major causes of congestion in urban road networks. Dynamically changing traffic conditions and live traffic state estimation are fundamental challenges that limit the ability of the existing signal infrastructure in rendering individualized…
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Multi-person 3D pose estimation from unlabelled data
Abstract Its numerous applications make multi-human 3D pose estimation a remarkably impactful area of research. Nevertheless, it presents several challenges, especially when approached using multiple views and regular RGB cameras as the only input. First, each person must be uniquely…
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Reconstructing relief surfaces
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WITHDRAWN: Video-based, real-time multi-view stereo
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Reconstructing Relief Surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enables the reconstruction of complete object models using the same algorithms that have been previously…
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Live 3D shape reconstruction, recognition and registration
We present a video-based system which interactively captures the geometry of a 3D object in the form of a point cloud, then recognizes and registers known objects in this point cloud in a matter of seconds (fig. 1). In order…
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Recent advances and new applications of computer vision (特集 デジタルメディア処理先端技術)