Development and Applications of Aerial-Ground Collaborative Mobile Intelligent Service Platform

被引：0
|
作者：
Shao Z. [1 ]
Cheng T. [1 ]
Li D. [1 ]
Wu C. [2 ]
Guo S. [3 ]
机构：
[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
[2] Xi’an Research Institute of Surveying and Mapping, Xi’an
[3] Leador Spatial Information Technology Corporation, Wuhan
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2023年 / 48卷 / 05期
关键词：
aerial-ground integration collaborative networking system; ground intelligent robot; unmanned aerial vehicle（UAV）networking; unmanned vehicle;
D O I：
10.13203/j.whugis20220520
中图分类号：
学科分类号：
摘要：
Objectives: Facing the demand for mobile intelligent services in the era of internet of everything, it is an urgent need to establish an aerial-ground collaborative intelligent service platform. Due to the limitations of core equipments and algorithms, the development of aerial-ground collaborative mobile intelligent service platform is relatively slow. Methods: Therefore, we break through the core technologies of real-time position and attitude measurement of sensors, develop the airborne and vehicle mounted aerial-ground multi-platform collaborative networking remote sensing observation system, and realize the quality improvement and intelligent and fine processing of multi-source remote sensing images, which can effectively support remote sensing mapping services, and improve the level of automatic processing of remote sensing information. Results: Thus, our research solves the problems of “accuracy, speed and flexibility” in the aerial-ground collaborative intelligent service platform, and realizes the global autonomous positioning of “BeiDou navigation satellite system with position and attitude measuring instrument”, rapid target searching under the aerial-ground collaborative networking, and automatic change checking under intelligent processing. Conclusions: The aerial-ground collaborative mobile intelligent service platform has been widely used in the monitoring of geographical conditions, smart city planning and construction, emergency mapping support and other industries. © 2023 Wuhan University. All rights reserved.
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页码：749 / 755
页数：6
相关论文
共 22 条
  • [1] Haigang Sui, Chaoxian Liu, Junyi Liu, Et al., Reflection and Exploration of Rapid Remote Sensing Emergency Response for Typical Natural Disasters ［J］, Geomatics and Information Science of Wuhan University, 45, 8, pp. 1137-1145, (2020)
  • [2] Deren Li, On Space-Air-Ground Integrated Earth Observation Network［J］, Journal of Geo-Information Science, 14, 4, pp. 419-425, (2012)
  • [3] Zhenyu Cao, Mechanisms and Methods of Emergency Mapping Information Services for Natural Disaster ［D］, (2014)
  • [4] Yun Shao, Zhongming Zhao, Fuxiang Huang, Et al., Precise Emergency Service System Construction and Demonstration Through Synergy Observation of Spaceborne，Airborne，and Ground Remote Sensing ［J］, Journal of Remote Sensing, 20, 6, pp. 1485-1490, (2016)
  • [5] Jingnan Liu, Kefu Gao, Challenges and Opportunities for Mapping and Surveying and Location Based Service in the Age of Intelligence［J］, Geomatics and Information Science of Wuhan University, 42, 11, pp. 1506-1517, (2017)
  • [6] A Collaborative Sensing System for Farmland Water Conservancy Project Maintenance Through Integrating Satellite，Aerial， and Ground Observations ［J］, Water, 13, 16, (2021)
  • [7] He J H, Zhou Y M, Huang L X，, Et al., Ground and Aerial Collaborative Mapping in Urban Environments ［J］, IEEE Robotics and Automation Letters, 6, 1, pp. 95-102, (2021)
  • [8] Qianbin Chen, Guojun Li, Guoquan Li, Et al., System Architecture and Key Technologies of Emergency Command Internet of Things［J］, Chinese Journal on Internet of Things, 2, 3, pp. 82-90, (2018)
  • [9] Liu M Q, Li M，, Et al., Intelligent Passive Detection of Aerial Target in Space-Air-Ground Integrated Networks ［J］, China Communications, 19, 1, pp. 52-63, (2022)
  • [10] Yongjun Zhang, Yi Wan, Wenzhong Shi, Et al., Technical Framework and Preliminary Practices of Photogrammetric Remote Sensing Intelligent Processing of Multi-source Satellite Images［J］, Acta Geodaetica et Cartographica Sinica, 50, 8, pp. 1068-1083, (2021)
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