基于DOM纠正的无人机巡逻视频序列图像的视觉定位模型.
Haojie Liu1, Wei Fan2, Di Wu1
1Yellow River Engineering Consulting Co., LTD., Zhengzhou, 450003, China.
Scientific reports
|December 8, 2023
概括
本研究引入了使用数字正视图地图 (DOM) 的无人机 (UAV) 的新视觉定位模型. 该模型实现了无人机视频的精确,实时定位,即使在不同的条件下.
科学领域:
- 地理空间信息科学 地理空间信息科学
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
背景情况:
- 来自无人机的空中图像的精确定位对于监测和灾害评估至关重要.
- 无人机视频序列的实时,强大和准确的定位仍然是一个重大挑战.
研究的目的:
- 开发基于数字正视图 (DOM) 校正的无人机巡逻视频序列的视觉定位模型.
- 为了实现无人机视频数据的精确,强大和动态实时定位.
主要方法:
- 一个强大的区块匹配算法,以找到无人机视频和预先获得的DOM之间的最佳匹配区域.
- 一个精确的多项式校正算法,用于计算准确的映射参数,用于实时定位.
主要成果:
- 拟议的算法在1秒内实现了稳定的定位,准确度约为2.5米.
- 尽管DOM和UAV图像在空间分辨率,特征,照明和地形上存在显著差异,但有效的定位被证明是有效的.
结论:
- 开发的模型显著改善了无人机巡逻视频序列的实时精确定位.
- 数学模型可以集成到现有的无人机系统中,而不需要额外的硬件.
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