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Found 3 papers, 2 papers with code
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression
We present a new convolution layer for deep learning architectures which we call QuadConv -- an approximation to continuous convolution via quadrature.
Variational Filtering with Copula Models for SLAM
The ability to infer map variables and estimate pose is crucial to the operation of autonomous mobile robots.
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM
The result is a max-mixture-type model that accounts for multiple data association hypotheses as well as incorrect loop closures.
Robotics
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