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Urban Last Mile Logistics (ULML) has been taking an increasingly important role alongside the development of e-commerce. The common delivery mode in the ULML is the Attended Home Delivery (AHD). However, such a delivery mode lacks flexibility, which means customers have to be waiting at home during certain time periods. Apart from AHD, another promising delivery mode is becoming available, which is...
This paper proposes a new approach of abnormal vehicle detection for frontal and lateral collision warnings in nighttime driving using monocular vision. Motion information is used to estimate moving objects. An empirical threshold range is introduced to eliminate efficiently most of non-vehicle regions. Vehicle candidates are segmented by using K-means clustering. An analysis is performed carefully...
In, recently we proposed a generalization of the frequency-based cluster prototype, in the same framework of the fuzzy C-means clustering algorithm, for the objects of mixed features. In the generalization, a general dissimilarity measure, not the simple matching dissimilarity, is assumed for each categorical feature. In this paper we develop an adaptive method to learn dissimilarity measures for...
Clustering is an unsupervised learning method that partitions the objects in a given object set into clusters in which objects are similar. Iterative clustering algorithms have been widely applied in a variety of key areas. Those algorithms find clusters of a fixed given number. The number of clusters must be decided before the algorithms run. The number of clusters is usually obtained by using cluster...
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