...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...

... , δ b ω T , δ θ L I T , δ p L I T , δ θ G E T ] T Positioning Localization SLAM (3) u = [ a m T , ω m T ] T , w = [ n a T , n w T , n b a T , n b w T ] T Among them...

... 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...

... between the nearest ends of two segments. If the distance exceeds 5 pixels, it will not be merged. 19 01 2020 28 02 2020 05 06 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only SLAM Unmanned Aerial Vehicles (UAV) Wind...

.... 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 (Będkowski et al., 2012 ; Bogue, 2013 ; Winkvist et al., 2013...

... 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...

... estimation and thus benefits largely the final solution of the whole system. Our ORB-G algorithm provides more robust and accurate solutions and outperforms other algorithms in comparison. Graph-based optimization methods are widely used in the backend of SLAM to get global optimization result. While...

...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...

...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...

...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...

... that the venture capital (VC) partners at Evolution could find acceptable. He gave me a call in 2012 and asked what I thought of putting the companies together and that's when we started talking. Navigation Localisation Mobile robots Robot vision Service robots SLAM Pransky: Tell us about...