Sökning: "Min Zhu"

Hittade 3 uppsatser innehållade orden Min Zhu.

  1. 1. Moving Object Trajectory Based Intelligent Traffic Information Hub

    Master-uppsats, KTH/Geodesi och geoinformatik

    Författare :Zhu Rui; [2013]
    Nyckelord :Spatio-temporal Data Mining; Congestion Detection and Notification; LBS; Intelligent Transport Systems;

    Sammanfattning : Congestion is a major problem in most metropolitan areas and given the increasingrate of urbanization it is likely to be an even more serious problem in the rapidlyexpanding mega cities. One possible method to combat congestion is to provide in-telligent traffic management systems that can in a timely manner inform drivers aboutcurrent or predicted traffic congestions that are relevant to them on their journeys. LÄS MER

  3. 2. Research and Application on Typology in the Historical District Renewal

    Master-uppsats, Blekinge Tekniska Högskola/Sektionen för planering och mediedesign

    Författare :Min Zhu; [2011]
    Nyckelord :historical district; renewal; typology;

    Sammanfattning : As an important constituent part during the urban development, the historical district has very important historical and cultural values. At present, with the accelerate development of the whole city, the problem of how to preserve the historical environment and continue the historical essence while make the district adapt to the modern society at the same time became more and more seriously. LÄS MER

  4. 3. Birth Density Modeling in Multi-target Tracking Using the Gaussian Mixture PHD Filter

    Master-uppsats, Blekinge Tekniska Högskola/Avdelningen för signalbehandling

    Författare :Rongrong Chen; Min Zhu; [2008]
    Nyckelord :tracking; Gaussian Mixture PHD filter; birth density;

    Sammanfattning : A recently established method for multi-target tracking which both estimates the time-varying number of targets and their states from a sequence of observation sets in the presence of data association uncertainty, detection uncertainty, noise and false alarms is the probability hypothesis density (PHD) recursion. The approach involves modeling the respective collections of targets and measurements as random finite sets and to propagate the posterior intensity, which is a first order statistic of the random finite set of targets, in time. LÄS MER