.png){kind=icon}
返回
Visual Navigation Based on Language Assistance and Memory
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3239837.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to solve outdoor mobile robots' dependence on geographic information systems, and to realize automatic navigation in the face of complex and changeable scenes, we propose a method that selects landmark and adds prompt guidance so that the mobile robot can navigate relying on visual-language and memory. Visual-language can guide the direction of the mobile robot's movement, obeying the annotation of people and according to its memory of the scene, which refers to the strategy of selecting passed-by landmarks for the route and remembering the scene features. When passing it, the agent can ascertain the position and match it to carry out the action. Experiments showed that our proposed method can achieve the purpose of independent navigation without GIS, and is superior to existing methods.
Keyword:
Visualization
Feature extraction
Navigation
Semantics
Mobile robots
Nonhomogeneous media
Data mining
Natural language processing
visual-language
memory
mobile robot
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
查看更多内容