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: 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 ...

In this article, a simultaneous localization and mapping algorithm is proposed for an autonomous vehicle. We use a laser detection and ranging sensor to detect the operating environment. An ...

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 ...

utm_source=GNW The global simultaneous localization and mapping ... after in various applications. This algorithm is mainly used in 2D environment mapping applications. Depending on offering ...

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 ...

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 ...

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 ...