全球导航卫星系统应用
计算机科学
实时动态
机器人
移动机器人
实时计算
全球定位系统
运动学
移动机器人导航
计算机视觉
人工智能
适应(眼睛)
同时定位和映射
卫星系统
模拟
机器人控制
电信
经典力学
光学
物理
作者
Junzuo Geng,Amir Ali Mokhtarzadeh,Hongyan Fei,Han Gao,Nan Ding,Rongshuang Kong,Jiayu Zhou
出处
期刊:Journal of physics
[IOP Publishing]
日期:2023-05-01
卷期号:2467 (1): 012027-012027
被引量:4
标识
DOI:10.1088/1742-6596/2467/1/012027
摘要
Abstract This paper provides a new robot positioning and navigation technique that combines GNSS-RTK and visual SLAM to address the shortcomings of existing single robot positioning and navigation techniques, such as limited adaptation to scenarios and susceptibility to environmental influences. Real-time kinematics (RTK) is a real-time dynamic observation technique based on carrier phase observations, which can provide real-time 3D positioning results of the measurement site in a specified coordinate system, and can be positioned with centimetre-level accuracy, which is suitable for It is suitable for outdoor positioning of mobile robots. In this paper, a dataset is studied to compare and analyse the advantages and disadvantages of different SLAMs in order to determine the most suitable robot positioning and navigation technique for autonomous indoor and outdoor mobility. These sensors were well calibrated and the composition was applied to the RK3588. The results show good performance in indoor-outdoor switching scenarios, obtaining a mapping technique that cannot be achieved with a single visual SLAM, effectively improving the ability to adapt to multiple scenarios and enhancing the operational range of the transportable robot.
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