Exploratory UAV Autonomous Visual Navigation With Spatiotemporal Cognition
文献类型：期刊论文
| 作者 | Jia, Huitong5; He, Hongyuan1; E, Chao2,3; Zhang, Bing4 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2026 |
| 卷号 | 19页码:4119-4132 |
| 关键词 | Autonomous aerial vehicles Visualization Cognition Global Positioning System Path planning Satellites Natural languages Autonomous robots Simultaneous localization and mapping Three-dimensional displays Exploratory spatiotemporal cognition unmanned aerial vehicle (UAV) vision-and-language navigation (VLN) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3647148 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | In extreme environments such as military conflicts or natural disasters, GPS signals may become completely ineffective or unreliable, rendering navigation systems utterly useless. Uncrewed aerial vehicles (UAVs) are instantly at risk of getting lost, straying, or crashing. Vision-based navigation technology provides a solution for this task scenario. However, the currently mainstream vision-and-language navigation technology mainly relies on strict pairing of language instructions and visual observations to guide UAVs to their target locations. Clearly, this method is not suitable for extreme environments, as in unfamiliar wilderness environment, people cannot provide detailed step-by-step guidance and clear navigation directional instructions. UAVs need to engage in exploratory autonomous navigation based on spatiotemporal cognition. Therefore, this study aims to develop an exploratory navigation system, UAV E-Nav. The main idea of this system is to simulate the spatiotemporal cognition and flight experience of senior navigator. It proposes an exploratory navigation framework consisting of three large trained models: the navigation language model, navigation positioning model, and navigation steering model. This framework supports natural language interaction and dynamic path planning. The exploratory navigation framework enables UAV E-Nav to better handle complex navigation cognition in the real world, thereby effectively making action decisions in exploratory navigation. We have instantiated a real-world UAV navigation system, UAV E-Nav, by turning off the satellite positioning function of navigation and demonstrating remote exploratory navigation in complex unknown environments through natural language instructions. This study provides a new thinking approach and paradigm for UAV exploratory navigation, enhancing the practicality of human-UAV interaction. |
| URL标识 | 查看原文 |
| WOS关键词 | SLAM |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001669251800017 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221054]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | E, Chao |
| 作者单位 | 1.Hunan Engn Res Ctr 3D Real Scene Construct & Appli, Surveying & Mapping Inst Hunan Prov 1, Changsha 421000, Peoples R China; 2.Wuhan Coll, Wuhan 430212, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.City Univ Hong Kong, Dept Comp, Hong Kong, Peoples R China 5.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Jia, Huitong,He, Hongyuan,E, Chao,et al. Exploratory UAV Autonomous Visual Navigation With Spatiotemporal Cognition[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2026,19:4119-4132. |
| APA | Jia, Huitong,He, Hongyuan,E, Chao,&Zhang, Bing.(2026).Exploratory UAV Autonomous Visual Navigation With Spatiotemporal Cognition.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,19,4119-4132. |
| MLA | Jia, Huitong,et al."Exploratory UAV Autonomous Visual Navigation With Spatiotemporal Cognition".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 19(2026):4119-4132. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。