Random Fourier Features based SLAM
Yermek Kapushev,Anastasia Kishkun,Gonzalo Ferrer,Evgeny Burnaev,Yermek Kapushev,Anastasia Kishkun,Gonzalo Ferrer,Evgeny Burnaev
This work is dedicated to simultaneous continuous-time trajectory estimation and mapping based on Gaussian Processes (GP). State-of-the-art GP-based models for Simultaneous Localization and Mapping (SLAM) are computationally efficient but can only be used with a restricted class of kernel functions. This paper provides the algorithm based on GP with Random Fourier Features (RFF) approximation for ...
