Browsing by Author "Chang, Chih-Tang"

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Clustering of Laser Measurements via the Dirichlet Process Mixture Model for Object Tracking
(2012)
Lee, Yung-Chou
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Hsiao, Tesheng
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Chang, Chih-Tang
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交大名義發表
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National Chiao Tung University
In this paper, the Dirichlet process mixture model is used to describe the distribution of the whole laser measurements in a given scan. Then the number of clusters is inferred from the measurements by the Gibbs sampler. We focus on the automotive application which usually has a more complex environment. Due to the variant shapes and sizes of the real traffic objects, the multi-class DP-based clustering model, which is incorporated with a mixture prior distribution, is proposed to cluster the measurements more properly. The clustering results of the proposed method are compared with those of several existing clustering methods both in an expressway case and in an urban road case. The corresponding tracking performances are also analyzed and the improvements of the proposed method are presented.
DEVELOPMENT OF A DYNAMIC TRIP-PLANNING SYSTEM FOR SEAMLESS FEEDER INFORMATION SERVICE
(2009-01-01)
Su, Jau-Ming
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Chang, Chih-Hung
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Lin, Chih-Kang
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Chang, Chih-Tang
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運輸與物流管理系註：原交通所+運管所
The multi-model between the real-time inter-city and intra-city transit information are not taken into consideration by the existed trip planning systems in Taiwan. Besides, during the process of trip path connections, the real-time transit information and the access mode for transit station is not provided. The planning result cannot fulfill user's requirement, thus user's willingness of utilizing public transportation is low. This paper develops a seamless transit trip planning system which takes inter-city transportations as mainstays and considers the all of feeder modes, such as bicycle, private vehicles or transit service, to integrate the related trip information in-between such as routes, schedules, and AVL information. In this system, the seamless trip-planning algorithm which also proposes in this study is the main component of planning travelers' trip.