1 State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China 2 College of Information Engineering, Zhejiang University of Technology, Hangzhou, China In this paper, a ...

Abstract: We present a Simultaneous Localization and Mapping (SLAM) algorithm based on measurements of the ambient magnetic field strength (MagSLAM) that allows quasi-real-time mapping and ...

Simultaneous Localization and Mapping (SLAM) is an extremely important algorithm in the field of robotics. It is a chicken-or-egg problem: a map is needed for localization and a pose estimate is ...

Abstract: This paper studies the problem of simultaneous localization and autonomous mapping of mobile machines, based on multiple sensor fusion SLAM algorithms. This method can solve the problem that ...

Innovations like AI-driven mapping algorithms, sensor fusion, and visual-inertial odometry are improving the accuracy and operational efficiency of SLAM systems, making them more viable in dynamic ...

The goal of this project is to implement simultaneous mapping and localization (SLAM) algorithms that allow a robot to explore an unfamiliar maze. Using LiDAR and wheel encoder data, we implemented ...

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle ... theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three ...