3D LiDAR-Based Semantic SLAM for Intelligent Irrigation Using UAV

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-03-04 DOI:10.1109/JSTARS.2025.3547717

Jeonghyeon Pak;Hyoung Il Son

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引用次数: 0

Abstract

Ensuring water use and food security is essential due to the growing world population and global warming. Agriculture is the largest consumer of freshwater, and attention has been focused on improving water-use efficiency in irrigated agriculture. We propose 3-D light detection and ranging (LiDAR)-based semantic simultaneous localization and mapping using unmanned aerial vehicles (UAVs) for intelligent irrigation. The proposed system uses the water-absorbing property of LiDAR to define a water point cloud and segment the surface water area based on singular value decomposition. A path is created using random sample consensus as the median point of the divided surface water area. By extracting the width and height information from the surrounding point cloud, the system aids in proactive natural disaster prevention and has potential applications for Big Data. The performance and practical utility of the proposed system were demonstrated via field data using a UAV and 3-D LiDAR. The robustness of the proposed system is verified by experiments in two irrigation environments with different surface water widths and temporal conditions.

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基于 3D 激光雷达的语义 SLAM，利用无人机实现智能灌溉

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.