@inproceedings{Uzkent2013_0,<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Abstract = {We consider the optical remote sensing tracking problem for vehicles in a complex environment using an
adaptive sensor that can take spectral data at a small number of locations. The Dynamic Data-Driven
Applications Systems (DDDAS) paradigm is well-suited for dynamically controlling such an adaptive sensor
by using the prediction of object movement and its interaction with the environment to guide the location of
spectral measurements. The spectral measurements are used for target identification through feature matching.
We consider several adaptive sampling strategies for how to assign locations for spectral measurements in
order to distinguish between multiple targets. In addition to guiding the measurement process, the tracking
system pulls in additional data from OpenStreetMap to identify road networks and intersections. When a
vehicle enters a detected intersection, it triggers the use of a multiple model prediction system to sample all
possible turning options. The result of this added information is more accurate predictions and analysis from
data assimilation using a Gaussian Sum filter (GSF).},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Address = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Author = {Burak Uzkent and Matthew J.  Hoffman and Anthony  Vodacek and John P.  Kerekes and Bin  Chen},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Booktitle = {Procedia Computer Science, },<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Keywords = {dddas; data assimilation; target tracking},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Month = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Number = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Organization = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Pages = {1939--1948},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Title = {Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Url = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Volume = {18},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Year = {2013}