Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos. To evaluate the perceptual quality various clouds, in this letter, we propose a novel and efficient Reduced-Reference metric for which is based on Content-oriented sAliency Projection (RR-CAP). Specifically, make first attempt simplify reference distorted into projected saliency maps with downsampling operation. Through process, tackle issue transmitting large-volume original...

Nowadays, vision oriented intelligent vehicle systems such as autonomous driving or transportation assistance can be optimized by enhancing the visual visibility of images acquired in bad weather conditions. The presence haze scenes is a critical threat. Image dehazing aims to restore spatial details from hazy images. There have emerged number image algorithms, designed increase those However, much less work has been focused on evaluating quality dehazed In this paper, we propose...

Developing an intelligent vehicle which can perform human-like actions requires the ability to learn basic driving skills from a large amount of naturalistic data. The algorithms will become efficient if we could decompose complex tasks into motion primitives represent elementary compositions skills. Therefore, purpose this paper is segment unlabeled trajectory data library primitives. By applying probabilistic inference based on iterative Expectation-Maximization algorithm, our method...

The effects of gravity on the heat transfer performance supercritical CO2 flowing within a vertical tube with diameter 4.75 mm are numerically studied in this paper. main objectives to comprehensively investigate action and buoyancy transfer. An effective numerical method, which employs modified Shear Stress Transfer k-ω model (SST k-ω), is applied at various conditions. It found that, for both upward downward flows, improved increased magnitude. effect more pronounced under low mass flux...

摘要: 类人驾驶系统是通过学习人类驾驶员知识与经验来提升无人驾驶系统适用性与接受度的重要技术途径。为解决驾驶员轨迹和操控层面经验的表述问题,以采集得到的大量真实驾驶数据为依托,提出一种基于轨迹基元与操控基元的分层式驾驶员经验表述模型。轨迹基元以动态运动基元算法进行表征,并由概率提取算法完成基元从无标签连续轨迹数据中的分割提取。操控基元在轨迹基元的提取分类结果上,利用高斯混合模型完成基元的训练,并利用高斯回归算法完成转向操控序列的预测。结果表明,概率提取算法既利用到了表征与提取之间的相互关联关系,又借助于初始分割点的合理设置,提升了算法的效率并使得提取得到的运动基元符合特定的驾驶假设。此外,所提出的运动基元既能以较高精度完成对驾驶员轨迹和操控层面数据的表征,又具备良好的泛化能力以应对运动基元再生成时在期望位置和时间尺度上的变化需求。最终构建了描述全工况驾驶行为的运动基元库,并大幅提升了运动基元应对不同行车环境时的适用性。

Existing terramechanics-based dynamic models for tracked vehicles (TRVs) are widely used in dynamics analysis. However, these incompatible with model-based controller design due to their high complexity and computational costs. This study presents a novel simplified model TRVs that can be optimization-based real-time motion design. To this end, we approximated the track-ground interactions an averaged term of shear stresses make computationally efficient linearizable. By introducing concepts...

In recent years, the parking problem is getting increasingly worse. Using information technology to improve use of spaces will be an important method deal with problem. this paper, unattended self system based on intelligent lock combining Internet Things and traditional designed, in which GPRS communication, third-party payment other core are used realize remote automation management parking. The structure includes cloud server, lock, owners client, database users. connected server by GPRS,...

Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos. To evaluate the perceptual quality various clouds, in this letter, we propose a novel and efficient Reduced-Reference metric for which is based on Content-oriented sAliency Projection (RR-CAP). Specifically, make first attempt simplify reference distorted into projected saliency maps with downsampling operation. Through process, tackle issue transmitting large-volume original...

In order to adapt the development of ground unmanned vehicle, paper studies matching problem engine during steering process and proposes an coordinated control strategy vehicle based on independent design position-type electronic governor. this paper, GMM-HMM model is built predict mode then, load identification parameters controller are adjusted in advance improve performance response. Meanwhile, GMR used estimate radius load. switching vehicle's mode, responds demand for speed reduce...

Image dehazing aims to restore spatial details from hazy images. There have emerged a number of image algorithms, designed increase the visibility those However, much less work has been focused on evaluating visual quality dehazed In this paper, we propose Reduced-Reference evaluation approach based Partial Discrepancy (RRPD) and then extend it No-Reference assessment metric with Blind Perception (NRBP). Specifically, inspired by hierarchical characteristics human perceiving images,...