Abstract The significant overhead related to frequent location updates from moving objects often results in poor performance. As most of the location updates do not affect the quer...
This paper studies the problem of associating deterministically a track revealed by a binary sensor network with the trajectory of a unique moving anonymous object, namely the Mult...
In this paper, we present two near-optimal methods to determine the real-time collision-free path for a mobile vehicle moving in a dynamically changing environment. The proposed de...
Jian Yang, Zhihua Qu, Jing Wang 0005, Kevin L. Con...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...