Citation: Yuyue Gao, Peng Chen, Yan Wang, Rao Li, Cheng Zhou. Research on UAV Track Planning for Real Scene Modeling of Earthwork. Journal of Information Technologyin Civil Engineering and Architecture, 2022, 14(2): 1-9. doi: 10.16670/j.cnki.cn11-5823/tu.2022.02.01
2022, 14(2): 1-9. doi: 10.16670/j.cnki.cn11-5823/tu.2022.02.01
Research on UAV Track Planning for Real Scene Modeling of Earthwork
1. | School of Civil & Hydraulic Engineering, Huazhong University of Science & Technology, Wuhan 430074, China |
2. | Wuhan Municipal Construction Group Co., Ltd, Wuhan 430023, China |
Engineering mapping can not only assist engineers to find scheduling and quality problems, but also provide data basis to conduct further engineering analysis. Compared with traditional engineering surveying and mapping technology, UAV low altitude photogrammetry technology has the advantages of simple operation, good economy, and strong mobility. Accordingly, in this paper, UAV photography technology is being introduced into civil engineering, and the issue of its route planning is being discussed to achieve the three-dimensional real scene modeling of the site. In terms of the modelling problems, this paper divides the original site into proper zones and simplifies the route planning problem to a full coverage path planning problem under the irregular field, where obstacle avoidance planning does not need to be considered. Methodologically, the combination of A*Algorithm and BINN algorithm have solved the problem of "dead zone" in BINN algorithm, and the setting of constraint rules has solved the problem of random walk in the initial stage of the algorithm.Finally, by taking an actual earthwork project as an example, the feasibility of the improved algorithm is being proved.
[1] |
尤轲, 窦全礼, 姜雨田, 等. 基于无人机的市政道路三维实景建模研究及应用[J]. 土木工程与管理学报, 2021, 38(04): 188-94.doi: 10.3969/j.issn.2095-0985.2021.04.028 |
[2] |
刘远. 基于无人机影像建模的土方监测系统研究[D]. 西安科技大学, 2020. |
[3] |
石越. 基于倾斜摄影测量技术的沉降观测与土方计算[D]. 南昌大学, 2020. |
[4] |
陈维亚, 姜雨田, 彭刚, 等. 基于空天地一体化监测的道路土方智能化施工服务平台[J]. 土木工程与管理学报, 2021, 38(01): 112-9. |
[5] |
刘颖, 张勇, 卢吉, 等. 基于无人机实景建模的机场道路路基平整度检测与分析研究[J]. 土木建筑工程信息技术, 2021, 13(03): 51-57. |
[6] |
王忠伟, 陈玉键. 基于实景建模与LSM方法的公路高边坡工程施工进度管理[J]. 项目管理技术, 2021, 19(04): 89-92.doi: 10.3969/j.issn.1672-4313.2021.04.015 |
[7] |
张昌文, 王艳, 周诚. 基于BIM与三维实景的机场跑道土方工程量测算方法研究[J/OL]. 土木建筑工程信息技术: 1-9[2022-04-18]. http://kns.cnki.net/kcms/detail/11.5823.TU.20210817.1405.006.html. |
[8] | |
[9] |
周欣沅, 张玲, 马永帅. 基于栅格地图的环境建模在清扫机器人路径规划中的应用[J]. 中小企业管理与科技(上旬刊), 2021, (07): 183-184. |
[10] |
顾海蛟. 无人机航路轨迹规划算法研究[D]. 长春工业大学, 2021. |
[11] |
中测新图遥感技术有限责任公司, 中国测绘科学研究院, 广东省国土资源厅测绘院. 低空数字航空摄影规范[Z]. 行业标准—测绘. 2010, 19. |
[12] |
李文广, 胡永江, 孙世宇, 等. 基于最小转弯半径的无人机转弯航迹规划算法[J]. 计算机工程与设计, 2019, 40(10): 2849-54. |
[13] |
刘磊, 孙敏, 任翔, 等. 基于无人机影像序列的三维重建方法综述[J]. 北京大学学报(自然科学版), 2017, 53(06): 1165-78. |
[14] |
GROSSBERG S. Nonlinear neural networks: Principles, mechanisms, and architectures[J]. Neural Networks, 1988, 1(1): 17-61. |
[15] |
刘晶, 姚维, 章玮. 移动机器人全覆盖路径规划算法研究[J]. 工业控制计算机, 2019, 32(12): 52-4.doi: 10.3969/j.issn.1001-182X.2019.12.019 |
[16] |
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