Robust Graph SLAM for Autonomous Navigation
Автор: Leo Nomada
Загружено: 2025-02-17
Просмотров: 31
Описание:
This work aims to implement a robust Simultaneous Localization and Mapping algorithm on a turtlebot platform using onboard sensors - 2D Lidar, Wheel Encoders, and Magnetometer compass. This study explores the
implementation of online SLAM and full SLAM using factor graphs, specifically leveraging the Georgia Tech Smoothing and Mapping (GTSAM) library on a Turtlebot robot platform with the Robot Operating System (ROS). Our study also incorporates the Closed form ICP covariance estimation method proposed by an existing work.
Contributor(s): Atharva Patwe, Loc Pham
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