maplab: An Open Framework for Research in Visual-inertial Mapping and Localization

Understand

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 driftfree pose estimates can push the applicability of such systems even further.
• Most of the currently available solutions, however, either focus on a single session use-case, lack localization capabilities or an end-to-end pipeline.
• We believe that only a complete system, combining state-of-the-art algorithms, scalable multi-session mapping tools, and a flexible user interface, can become an efficient research platform.