...Gongcheng Wang; Zexin Cao; Xin Lv; Han Wang; Chong Wang; Pengchao Ding; Weidong Wang Purpose Simultaneous localization and mapping (SLAM) is widely used in autonomous robotics. Although LiDAR and vision-based methods have been widely deployed in large-scale environments, their submeter accuracy...

...Xiangdi Yue; Jiawei Chen; Yihuan Zhang; Siming Huang; Jiaji Pan; Miaolei He Purpose Over the decades, simultaneous localization and mapping (SLAM) techniques have been extensively researched and applied in robotic mapping. In complex environments, SLAM systems using a single sensor...

...Jintao Xu; Yu Fang; Weiwei Gao; Xintian Liu; Juanjuan Shi; Hao Yang Purpose The purpose of this study is to address the low localization accuracy and frequent tracking failures of traditional visual SLAM methods in low-light and weak-texture situations, and we propose a mobile robot visual...

...Jianjun Yao; Yingzhao Li Purpose Weak repeatability is observed in handcrafted keypoints, leading to tracking failures in visual simultaneous localization and mapping (SLAM) systems under challenging scenarios such as illumination change, rapid rotation and large angle of view variation...

...Xiangdi Yue; Yihuan Zhang; Jiawei Chen; Junxin Chen; Xuanyi Zhou; Miaolei He Purpose In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper...

... the problem of technical stability leading to ACT production paralysis and propose a mini-terminal AGV robot for testing laser simultaneous location and mapping (SLAM)-based methods in ACT operation scenarios. Design/methodology/approach This study developed a physical simulation robot for terminal AGV...

... be constructed for subsequent research. Dong Liu can be contacted at: liud@dlut.edu.cn 08 11 2022 08 01 2023 14 02 2023 27 02 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Positioning Localization SLAM...

... reliable owing to multipath effect and poor satellite visibility in many urban environments. In another hand, the LiDAR-based odometry has accumulative errors. This paper aims to propose a novel simultaneous localization and mapping (SLAM) system to obtain large-scale and precise 3D map. Design...

... The proposed visual-inertial odometry works robustly in strong electromagnetic interference, low-textured and illumination-change wind farm. © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only SLAM Unmanned Aerial Vehicles (UAV) Wind turbine Low texture...

... Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only 3D Sensors Robot vision SLAM Artificial Intelligence Autonomous robots Real-time 3 D point cloud mapping and modeling of the environment/object are important requirements in industrial robotics applications...

... camera, some state of art method provides up-to-scale 3D structure information, but scale information of corresponding objects is uncertain. Design/methodology/approach First, high-accuracy and scale-informed camera pose and sparse 3D map are provided by leveraging ORB-SLAM and marker. Second...

...-use rights only Machine vision SLAM Mobile robots proposes a novel GVO strategy by fusing structure information of the image into a graph structure; integrates the procedures of building correspondences between keypoints and estimating camera motion into a unified geometric...

...Michał R. Nowicki; Dominik Belter; Aleksander Kostusiak; Petr Cížek; Jan Faigl; Piotr Skrzypczyński Purpose This paper aims to evaluate four different simultaneous localization and mapping (SLAM) systems in the context of localization of multi-legged walking robots equipped with compact RGB-D...

...Ramazan Havangi Purpose Simultaneous localization and mapping (SLAM) is the problem of determining the pose (position and orientation) of an autonomous robot moving through an unknown environment. The classical FastSLAM is a well-known solution to SLAM. In FastSLAM, a particle filter is used...

...Hui Xiong; Youping Chen; Xiaoping Li; Bing Chen; Jun Zhang Purpose The purpose of this paper is to present a scan matching simultaneous localization and mapping (SLAM) algorithm based on particle filter to generate the grid map online. It mainly focuses on reducing the memory consumption...

... navigation field was mainly being driven by people like Sebastrian Thrun and others from Carnegie Mellon University who were using expensive laser rangefinders such as SICK, and developing that with simultaneous localization and mapping (SLAM), a probabilistic approach to building a map while figuring out...