基于无人机航拍系统的地面拾物路径规划方法、装置、计算机设备和存储介质
By acquiring full-area boundary images of lawns or ponds through drone aerial photography systems and adjusting the path of ground-based object pickup hosts using boundary classification parameters, the problems of low cleaning efficiency and missed cleaning in blind spots in traditional methods are solved, achieving more efficient cleaning coverage.
CN120846338BActive Publication Date: 2026-07-17XIAMEN CHIPSUN SCIENCE & TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAMEN CHIPSUN SCIENCE & TECHNOLOGY CO LTD
- Filing Date
- 2025-07-22
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Traditional lawn mowing and pond cleaning methods are inefficient and often leave unattended areas.
Method used
A drone aerial photography system is used to perform global boundary analysis and obtain global boundary images of the area to be planned. By processing the likelihood loss of boundary classification parameters and preset parameters, the movement path of the ground pickup host is adjusted to cover the area to be planned.
Benefits of technology
It effectively avoids missing cleaning in blind spots, improving cleaning efficiency and coverage.
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Abstract
本公开提供一种基于无人机航拍系统的地面拾物路径规划方法、装置、计算机设备和存储介质。上述方法包括获取航拍无人机的全域边界图像；根据全域边界图像获取全域边界分类参数；将全域边界分类参数与预设边界分类参数进行边界类型似然损失处理，以得到界类损失量；根据界类损失量向地面拾物路径规划器发送路径更新失使信号。在对全域边界分类参数采集后，对当前待规划区域边界分布情况进行确定，之后将全域边界分类参数与标准的边界分类参数进行比对，便于确定待规划区域边界分布差异程度，最后根据上述边界分布差异程度，对地面拾物主机的移动路径进行调整，以使地面拾物主机规划出来的地面拾物路径全覆盖待规划区域。
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