在实时果园建筑评估中,VR用于情境意识
Andrew K Chesang1, Daniel Dooyum Uyeh1
1Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48823, USA.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
本研究介绍了一种适应式流媒体和染管道,用于果园中的虚拟现实 (VR) 远程操作. 该系统通过改善实时点云可视化和性能,提高了精准农业的情境意识.
科学领域:
- 机器人和自动化 机器人和自动化
- 计算机视觉 计算机视觉
- 虚拟现实 虚拟现实 虚拟现实
背景情况:
- 农业中的远程操作要求对果园管理等任务具有高度的情境意识.
- 复杂的果园结构在建筑侦察期间挑战远程可视化.
- 现有系统在实时数据染方面扎,以实现有效的远程操作.
研究的目的:
- 开发适应性流和染管道,用于VR远程操作系统中的实时点云可视化.
- 加强精准农业的建筑侦察和决策.
- 提高经营者在偏远农业环境中的经验质量 (QoE).
主要方法:
- 实现了一个带有选择性流媒体的管道,一个Unity Engine点云解析器,以及自适应的细节级染.
- 利用动态缩放和光滑的多边形来实现高效的染.
- 通过LiDAR反射来进行嵌入式伪彩色,以增强材料和几何区分.
主要成果:
- 与现有方法相比,运行时性能得到了10.2-19.4%的改进.
- 通过选择性流媒体证明了高达112%的率提升.
- 确认视觉连续性和保存几何特征,用于侦察行动.
结论:
- 拟议的基于VR的远程操作系统对于精准农业是可行的.
- 该管道有效地提高了复杂果园环境中的远程感知和决策.
- 服务质量参数极大地影响了操作员在遥感方面的经验质量.
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