2018
Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization
RA-L 2018
Robust and accurate visual-inertial estimation is crucial to many of today's challenges in robotics. Being able to localize against a prior map and obtain accurate and drift-free pose estimates can push the applicability of such systems even further. Most of the currently available solutions, howeve