— In this paper, we study the problem of localization using relative-state estimates. It is shown, that when the same exteroceptive sensor measurement is processed for the comput...
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
Abstract--The proliferation of wireless-enabled portable computing devices has spurred a growing need for efficient and powerful networking protocols. The key challenge in the deve...
Vikram P. Munishwar, Shailendra Singh 0003, Christ...
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Simultaneous localization and mapping (SLAM) is a basic prerequisite in autonomous mobile robotics. Most existing visual SLAM approaches either assume a static environment, or sim...