Chris Kreucher

Publication Activity (10 Years)

Years Active: 1999-2018
Publications (10 Years): 3

Top Topics

Multiple Hypothesis

Sensor Placement

Particle Filter

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Chris Kreucher, Kristine L. Bell
A Geodesic Flow Particle Filter For Nonthresholded Radar Tracking. IEEE Trans. Aerosp. Electron. Syst. 54 (6) (2018)
Michael Wilmanski, Chris Kreucher, Alfred O. Hero III
Complex input convolutional neural networks for wide angle SAR ATR. GlobalSIP (2016)
Chris Kreucher, Paul Bierdz, Kristine L. Bell
Optimal exploitation of fluctuating target measurements. GlobalSIP (2016)
Chris Kreucher, Kristine L. Bell, David Sobota
A comparison of tracking algorithms for supermaneuverable targets. FUSION (2015)
Chris Kreucher, Mike Brennan
A Compressive Sensing Approach to Multistatic Radar Change Imaging. IEEE Trans. Geosci. Remote. Sens. 52 (2) (2014)
Chris Kreucher, Benjamin Shapo
CRB-optimal sensor placement for multiple passive acoustic arrays. GlobalSIP (2013)
Chris Kreucher, Braham Himed
Multiple target tracking using a narrowband RF sensor array. SAM (2012)
Mike Brennan, Chris Kreucher, Benjamin Shapo
Multistatic radar change detection using sparse imaging methods. SSP (2012)
Chris Kreucher
Dismount tracking by fusing measurements from a constellation of bistatic narrowband radar. FUSION (2011)
Chris Kreucher, Benjamin Shapo
A fuse-before-track approach to target state estimation using passive acoustic sensors. FUSION (2011)
Benjamin Shapo, Chris Kreucher
Track-before-fuse error bounds for tracking passive targets. FUSION (2011)
Chris Kreucher, Alfred O. Hero III, Keith Kastella
A Comparison of Task Driven and Information Driven Sensor Management for Target Tracking. CDC/ECC (2005)
Chris Kreucher, Alfred O. Hero III
Non-myopic approaches to scheduling agile sensors for multistage detection, tracking and identification. ICASSP (5) (2005)
Chris Kreucher, Alfred O. Hero III, Keith Kastella, Dan Chang
Efficient methods of non-myopic sensor management for multitarget tracking. CDC (2004)
Chris Kreucher, Sridhar Lakshmanan
LANA: a lane extraction algorithm that uses frequency domain features. IEEE Trans. Robotics Autom. 15 (2) (1999)