CN113205116A - 输电线路无人机巡检拍摄目标点自动提取及航迹规划方法 - Google Patents
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113494913A (zh) * | 2021-09-07 | 2021-10-12 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | 无人机电力巡检规划方法、装置、计算机设备和存储介质 |
CN113641187A (zh) * | 2021-08-26 | 2021-11-12 | 江苏方天电力技术有限公司 | 一种输电线路无人机巡检航迹规划自动命名方法 |
CN113759974A (zh) * | 2021-09-15 | 2021-12-07 | 国网通用航空有限公司 | 一种面向输电杆塔精细化巡检的航线生成方法 |
CN113885558A (zh) * | 2021-09-27 | 2022-01-04 | 湖南德森九创科技有限公司 | 一种大坝表面图像无人机自动安全采集方法和系统 |
CN114035614A (zh) * | 2022-01-10 | 2022-02-11 | 成都奥伦达科技有限公司 | 基于先验信息的无人机自主巡检方法、系统及存储介质 |
CN114625166A (zh) * | 2022-03-03 | 2022-06-14 | 江苏方天电力技术有限公司 | 一种无人机拍摄位置的智能定位方法 |
CN114638985A (zh) * | 2022-03-03 | 2022-06-17 | 北京中关村智连安全科学研究院有限公司 | 一种基于核心点卷积的电力杆塔点云分类分割模型构建方法 |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008020614A (ja) * | 2006-07-12 | 2008-01-31 | Chugoku Electric Power Co Inc:The | 送電鉄塔の巡視支援方法及び携帯情報端末 |
CN106960178A (zh) * | 2017-02-23 | 2017-07-18 | 中国科学院自动化研究所 | 绝缘子识别模型的训练方法以及绝缘子的识别与定位方法 |
WO2018103242A1 (zh) * | 2016-12-09 | 2018-06-14 | 武汉科技大学 | 一种基于运动学习的四旋翼无人机电塔巡检方法 |
CN108413964A (zh) * | 2018-03-08 | 2018-08-17 | 云南电网有限责任公司电力科学研究院 | 一种无人机输电线路巡检航迹规划方法及系统 |
CN109633674A (zh) * | 2018-12-17 | 2019-04-16 | 云南电网有限责任公司带电作业分公司 | 基于激光点云数据的输电巡视三维航迹自动规划方法 |
CN110727288A (zh) * | 2019-11-13 | 2020-01-24 | 昆明能讯科技有限责任公司 | 一种基于点云的电力巡检精准三维航线规划方法 |
CN110780681A (zh) * | 2019-11-26 | 2020-02-11 | 贵州电网有限责任公司 | 一种基于激光点云的无人机自主巡检绝缘子路径规划方法 |
CN111256703A (zh) * | 2020-05-07 | 2020-06-09 | 江苏方天电力技术有限公司 | 一种多旋翼无人机巡检路径规划方法 |
CN111443730A (zh) * | 2020-05-12 | 2020-07-24 | 江苏方天电力技术有限公司 | 一种用于输电线路巡检的无人机轨迹自动生成方法及装置 |
CN112034878A (zh) * | 2020-11-05 | 2020-12-04 | 北京云圣智能科技有限责任公司 | 基于无人机的电力巡检方法、装置和电子设备 |
US20210012089A1 (en) * | 2019-07-08 | 2021-01-14 | Waymo Llc | Object detection in point clouds |
CN112230680A (zh) * | 2020-10-29 | 2021-01-15 | 国网河南省电力公司济源供电公司 | 一种无人机电力线路巡检控制方法 |
CN112414409A (zh) * | 2020-11-16 | 2021-02-26 | 天津航天中为数据系统科技有限公司 | 一种基于串结构的自主巡检路径规划方法及飞行器 |
-
2021
- 2021-04-15 CN CN202110403452.4A patent/CN113205116B/zh active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008020614A (ja) * | 2006-07-12 | 2008-01-31 | Chugoku Electric Power Co Inc:The | 送電鉄塔の巡視支援方法及び携帯情報端末 |
WO2018103242A1 (zh) * | 2016-12-09 | 2018-06-14 | 武汉科技大学 | 一种基于运动学习的四旋翼无人机电塔巡检方法 |
CN106960178A (zh) * | 2017-02-23 | 2017-07-18 | 中国科学院自动化研究所 | 绝缘子识别模型的训练方法以及绝缘子的识别与定位方法 |
CN108413964A (zh) * | 2018-03-08 | 2018-08-17 | 云南电网有限责任公司电力科学研究院 | 一种无人机输电线路巡检航迹规划方法及系统 |
CN109633674A (zh) * | 2018-12-17 | 2019-04-16 | 云南电网有限责任公司带电作业分公司 | 基于激光点云数据的输电巡视三维航迹自动规划方法 |
US20210012089A1 (en) * | 2019-07-08 | 2021-01-14 | Waymo Llc | Object detection in point clouds |
CN110727288A (zh) * | 2019-11-13 | 2020-01-24 | 昆明能讯科技有限责任公司 | 一种基于点云的电力巡检精准三维航线规划方法 |
CN110780681A (zh) * | 2019-11-26 | 2020-02-11 | 贵州电网有限责任公司 | 一种基于激光点云的无人机自主巡检绝缘子路径规划方法 |
CN111256703A (zh) * | 2020-05-07 | 2020-06-09 | 江苏方天电力技术有限公司 | 一种多旋翼无人机巡检路径规划方法 |
CN111443730A (zh) * | 2020-05-12 | 2020-07-24 | 江苏方天电力技术有限公司 | 一种用于输电线路巡检的无人机轨迹自动生成方法及装置 |
CN112230680A (zh) * | 2020-10-29 | 2021-01-15 | 国网河南省电力公司济源供电公司 | 一种无人机电力线路巡检控制方法 |
CN112034878A (zh) * | 2020-11-05 | 2020-12-04 | 北京云圣智能科技有限责任公司 | 基于无人机的电力巡检方法、装置和电子设备 |
CN112414409A (zh) * | 2020-11-16 | 2021-02-26 | 天津航天中为数据系统科技有限公司 | 一种基于串结构的自主巡检路径规划方法及飞行器 |
Non-Patent Citations (2)
Title |
---|
刘畅等: "多重威胁下的无人机自主避障航迹规划", 《哈尔滨工业大学学报》, vol. 52, no. 4, pages 89 - 91 * |
浦石;吴新桥;燕正亮;杜娜娜;白阳;: "无人机激光雷达智能识别输电线路缺陷", 遥感信息, no. 04 * |
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CN113641187A (zh) * | 2021-08-26 | 2021-11-12 | 江苏方天电力技术有限公司 | 一种输电线路无人机巡检航迹规划自动命名方法 |
CN113641187B (zh) * | 2021-08-26 | 2023-09-22 | 江苏方天电力技术有限公司 | 一种输电线路无人机巡检航迹规划自动命名方法 |
CN113494913A (zh) * | 2021-09-07 | 2021-10-12 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | 无人机电力巡检规划方法、装置、计算机设备和存储介质 |
CN113759974A (zh) * | 2021-09-15 | 2021-12-07 | 国网通用航空有限公司 | 一种面向输电杆塔精细化巡检的航线生成方法 |
CN113885558A (zh) * | 2021-09-27 | 2022-01-04 | 湖南德森九创科技有限公司 | 一种大坝表面图像无人机自动安全采集方法和系统 |
CN113885558B (zh) * | 2021-09-27 | 2023-07-04 | 湖南德森九创科技有限公司 | 一种大坝表面图像无人机自动安全采集方法和系统 |
CN114035614A (zh) * | 2022-01-10 | 2022-02-11 | 成都奥伦达科技有限公司 | 基于先验信息的无人机自主巡检方法、系统及存储介质 |
CN114625166A (zh) * | 2022-03-03 | 2022-06-14 | 江苏方天电力技术有限公司 | 一种无人机拍摄位置的智能定位方法 |
CN114638985A (zh) * | 2022-03-03 | 2022-06-17 | 北京中关村智连安全科学研究院有限公司 | 一种基于核心点卷积的电力杆塔点云分类分割模型构建方法 |
CN114625166B (zh) * | 2022-03-03 | 2024-04-30 | 江苏方天电力技术有限公司 | 一种无人机拍摄位置的智能定位方法 |
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