Can I read Square Root Information Smoothing for SLAM on EtoBox?

Square Root Information Smoothing for SLAM by Trung Con is a document available to read on EtoBox.

What is Square Root Information Smoothing for SLAM about?

The document discusses a novel approach to the Simultaneous Localization and Mapping (SLAM) problem using Square Root Information Smoothing (SAM), which offers advantages over traditional Extended Kalman Filter (EKF) methods. SAM improves computational efficiency and accuracy by utilizing sparse linear algebra and graphical models, allowing for better handling of non-linearities and yielding the entire robot trajectory. The paper presents theoretical foundations, simulation results, and practical experiment

Author

Trung Con

Language

EN