340 search results - page 10 / 68 » SLAM with Sparse Sensing |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract— While the most accurate solution to off-line structure from motion (SFM) problems is undoubtedly to extract as much correspondence information as possible and perform g...
TROB
2008
13 years 7 months ago
2008
This paper presents a vision-based approach to SLAM in indoor / outdoor environments with minimalistic sensing and computational requirements. The approach is based on a graph repr...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...