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In this paper, we present a three-dimensional (3D) geometric channel model for vehicle-to-vehicle (V2V) communication environments. We adopt a two-cylinder model to describe moving vehicles as well as semi-ellipsoid model to depict stationary roadside scenarios, where the received signal is constructed as a sum of the line-of-sight (LoS), single-, and double-bounced rays. Accordingly, the proposed...
We present a Bayesian framework for estimating 3D human pose and camera from a single RGB image. We develop a generative model where a 3D pose is rendered onto an image (via the camera), which then generates a detection probability map for each body part. We represent a human pose with a set of 3D cylinders in space, one for each body part, and we place kinematic and self-intersection priors on the...
We propose a deep convolutional neural network for 3Dhuman pose and camera estimation from monocular imagesthat learns from 2D joint annotations. The proposed networkfollows the typical architecture, but contains an additionaloutput layer which projects predicted 3D joints onto2D, and enforces constraints on body part lengths in 3D.We further enforce pose constraints using an independentlytrained...
At present, researches on design rationale focus on the model representation and retrieval, which lack deeply mining in the design rationale model and cannot support innovative design. This paper proposes a decision-making context model and a graph mining based method to mine the model. This method could get large amount of tacit design rules, design consensus and design evidences in decision-making...
The modeling and simulation of lightning discharge are very important for the lightning protection engineering and lightning research. In this paper, with the thundercloud electrostatic model and potential equation in the space, a three-dimensional(3-D) numerical simulation of lightning discharge at 50-m resolution was presented. The dielectric breakdown model(DBM) based on fractal theory and bidirectional...
This paper presents a hybrid approach based on the continuum model proposed by Treuille et al.. Compared to the original method, our solution is well suited for complex environment. We first present an environment structure and a corresponding discretization scheme that help us to organize and simulate crowds in large-scale scenarios. Second, additional discomforts around obstacles are auto-generated...
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