...Han Sun; Song Tang; Xiaozhi Qi; Zhiyuan Ma; Jianxin Gao Purpose This study aims to introduce a novel noise filter module designed for LiDAR simultaneous localization and mapping (SLAM) systems. The primary objective is to enhance pose estimation accuracy and improve the overall system performance...

... and mapping (SLAM) is the basic condition for multi-agent reconnaissance and search. It is important to integrate maps constructed by various agents in the exploration of environment reasonably and efficiently and improving the accuracy of fusion positioning. Map construction is the basis of multi-agent...

...Qamar Ul Islam; Haidi Ibrahim; Pan Kok Chin; Kevin Lim; Mohd Zaid Abdullah Purpose Many popular simultaneous localization and mapping (SLAM) techniques have low accuracy, especially when localizing environments containing dynamically moving objects since their presence can potentially cause...

... sensors fusion SLAM Mobile robot With the development of the control, sensor and mechanical techniques, the robot has brought the influence of transformation to humans’ lifestyles and production methods in terms of human-machine interaction (Yang et al., 2018a ; Wen and Chen, 2020...

...Zhen Zhou; Dongqing Wang; Boyang Xu Purpose The purpose of this paper is to explore a multi-innovation with forgetting factor-based EKF-SLAM (FMI-EKF-SLAM) algorithm to solve the error increasing problem, caused by the Extended Kalman filtering (EKF) violating the local linear assumption...