Claire M. Watts — accepted AI-conference papers

2017

Partitioned inverse image reconstruction for millimeter-wave SAR imaging

Sandamali Devadithya, Andreas Pedross-Engel, Claire M. Watts, Matthew S. Reynolds

ICASSP 2017accepted

Synthetic aperture radar (SAR) images are representations of the microwave or millimeter-wave reflectivity of the observed scenes. SAR image reconstruction is an inverse problem, which can be solved via an approximation, e.g. matched filter (MF), or the explicit inverse using a large amount of measu…

Cited by 0 Source ↗Scholar ↗

2016

2D and 3D millimeter-wave synthetic aperture radar imaging on a PR2 platform

Claire M. Watts, Patrick Lancaster, Andreas Pedross-Engel, Joshua R. Smith, Matthew S. Reynolds

IROS 2016poster

Optical depth cameras, including both time-of-flight and structured-light sensors, have led to dramatic improvements in robot sensing and perception. We propose the use of millimeter-wave (mmW) radar as an important complement to optical sensors. While the millimeter wavelengths of radar sensors do…

Cited by 36 Source ↗Scholar ↗