| 空地协同移动智能服务平台研发及典型应用 |
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| 引用本文： | 邵振峰,程涛,李德仁,吴长枝,郭晟.空地协同移动智能服务平台研发及典型应用[J].武汉大学学报(信息科学版),2023,48(5):749-755. |
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| 作者姓名： | 邵振峰 程涛 李德仁 吴长枝 郭晟 |
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| 作者单位： | 1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金42090012广西科技计划项目桂科2021AB30019珠海市产学研合作项目ZH22017001210098PWC四川省重点研发计划2022YFN0031四川省重点研发计划2023YFN0022四川省重点研发计划2023YFS0381山西省科技重大专项计划202201150401020广西空间信息与测绘重点实验室基金21-238-21-01 |
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| 摘 要： | 面向万物互联时代的移动智能服务需求，亟须建立空地协同智能服务平台。由于核心设备和算法的限制，空地协同移动智能服务平台发展较为缓慢。由此通过攻关传感器实时位置和姿态测量的核心技术与数据处理和分析的关键算法，研制了高精度位姿测量设备，研发了机载和车载空地多平台协同组网遥感观测系统，实现了多源遥感影像质量改善与智能精处理，有效支撑遥感测绘服务，提升遥感信息自动化处理水平，从而解决了空地协同智能服务平台中“准、快、灵”的难题，实现“北斗+位姿测量仪”全球自主“定基准”、空地协同组网快速“找目标”、智能化精处理自动“查变化”。成果已被广泛应用于地理国情监测、智慧城市规划和建设、应急测绘保障等行业。
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| 关 键 词： | 无人机组网 地面智能机器人 无人车 空地协同组网系统 |
| 收稿时间： | 2022-12-18 |
Development and Applications of Aerial-Ground Collaborative Mobile Intelligent Service Platform |
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| Affiliation: | 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.Xi'an Research Institute of Surveying and Mapping, Xi'an 710054, China3.Leador Spatial Information Technology Corporation, Wuhan 430073, China |
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| Abstract: | 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. |
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