Enhanced sensing method for 3D scene in UAV ground station

ZHANG Jia-ming; LIU Gui-xi; Yao Li-yang; Fang Lan-lan; LI Si

doi:10.3788/OPE.20152313.0799

您当前的位置：

首页 >

文章列表页 >

Enhanced sensing method for 3D scene in UAV ground station

更新时间：2020-08-13

- Enhanced sensing method for 3D scene in UAV ground station
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 798-805(2015)
- 作者机构：
  
  西安电子科技大学机电工程学院,陕西西安,710071
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0799
  CLC： TP391.4
- Received：02 June 2015，
  
  Revised：30 June 2015，
  
  Published：14 November 2015
- 稿件说明：
移动端阅览
张佳明, 刘贵喜, 姚李阳等. 用于无人机地面站的三维场景增强感知方法[J]. 光学精密工程, 2015,23(10z): 798-805

ZHANG Jia-ming, LIU Gui-xi, Yao Li-yang etc. Enhanced sensing method for 3D scene in UAV ground station[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 798-805
张佳明, 刘贵喜, 姚李阳等. 用于无人机地面站的三维场景增强感知方法[J]. 光学精密工程, 2015,23(10z): 798-805 DOI： 10.3788/OPE.20152313.0799.

ZHANG Jia-ming, LIU Gui-xi, Yao Li-yang etc. Enhanced sensing method for 3D scene in UAV ground station[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 798-805 DOI： 10.3788/OPE.20152313.0799.

摘要

面向无人直升机的低空飞行、着陆和悬停

提出了一种用于无人机地面站的三维场景增强感知方法。针对复杂的低空环境

为三维场景的地形数据构建了多层次调用准则

以此增加三维场景的局部细节。然后

为障碍物数据库中的障碍物设计了三维保形符号

实现了对障碍物的增强感知;引入动态感知思想

设计了垂直剖面显示、路径指示以及能够实时提示飞行安全的保护符。最后

提出增强合成视景

实现了三维场景增强感知系统。选择低空进场和近地侦查两种应用进行了实验。结果表明

利用本文方法为地面站的三维场景显示提供增强感知

三维场景显示画面的帧率至少可达32 Hz。本文方法能够有效地简化三维场景的数据

降低场景信息的理解难度

提高障碍物的识别速度

有效地提升无人机操控人员的态势感知。

Abstract

For low-flying

landing and hovering of a Unmanned Aerial Vehicle(UAV)

a method of 3D scene enhanced sensing method for an UAV ground station was proposed. In consideration of a complex low flying environment

a multi-level calling guideline was established for the terrain data of the 3D scene

and then the local details of the 3D scene were increased. Then

a 3D conformal symbol of the obstacle from the database was designed

the enhanced sensing of the obstacle was achieved. A dynamic perception idea was introduced

and the vertical profile display

route presentation as well as the protection symbol were designed for flight safety in real time. Finally

enhanced synthetic vision was proposed

and the 3D scene enhanced sensing system was implemented. The low-altitude approach and near ground investigation were selected as experiments. Results show that the proposed method can provide the enhanced sensing for 3D scene display of the UAV ground station and the frame of scene display is at least 32 Hz. This method simplifies the data from the 3D scene

reduces the difficulty of understanding the scene information

improves recognition speed

and effectively promotes situational awareness of the UAV control personnel.

关键词

Keywords

references

SAVAGE J, GOODRICH S, OTT C, et al.. Three-dimensional landing zone joint capability technology demonstration[C].20th Conference on Degraded Visual Environments-Enhanced,Synthetic, and External Vision Solutions, Baltimore, MD, 2014.

ROY P. Enhanced synthetic vision systems and multi-sensor data fusion to improve operational capabilities of small tactical UAV[C].AIAA Conference and Exhibit, 2007:7-10.

WIESEMANN T, SCHIEFELE J, KUBBAT W. Multi-resolution terrain depiction on an embedded 2D/3D synthetic vision system[J]. Aerospace Science and Technology, 2005, 9(6):517-524.

CROSS J, SCHNEIDER J, CARIANI P. MMW radar enhanced vision systems:the Helicopter Autonomous Landing System(HALS) and Radar-Enhanced Vision System(REVS) are rotary and fixed wing enhanced flight vision systems that enable safe flight operations in degraded visual environments[C].SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013:87370G-87370G-13.

吴俊,汪源源,陈悦,等. 基于同质区域自动选取的各向异性扩散超声图像去噪[J]. 光学精密工程,2014,22(5):1312-1321. WU J, WANG Y Y, CHEN Y, et al.. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection[J].Opt. Precision Eng., 2014, 22(5):1312-1321.(in Chinese)

蒋刚毅,杨小祥,彭宗举,等. 高效视频编码的快速编码单元深度遍历选择和早期编码单元裁剪[J]. 光学精密工程, 2014, 22(5):1322-1330. JIANG G Y, YANG X X, PENG Z J, et al.. Fast CU depth range selection and early CU pruning for HEVC[J].Opt. Precision Eng., 2014, 22(5):1322-1330.(in Chinese)

DOEHLER H U, SCHMERWITZ S, LUEKEN T. Visual-conformal display format for helicopter guidance[C].20th Conference on Degraded Visual Environments-Enhanced,Synthetic, and External Vision Solutions, Baltimore, MD, 2014:90870J-90870J-12.

王源源,黄大庆. 无人机侦察图像压缩[J]. 光学精密工程,2014,22(5):1363-1370. WANG Y Y, HUANG D Q. Compression for UAV reconnaissance images[J].Opt. Precision Eng., 2014, 22(5):1363-1370.(in Chinese)

STOLLNITZ E J, DEROSE T D, SALESIN D H. Wavelets for Computer Graphics:Theory and Applications[M]. Monterey:Morgan Kaufmann, 1996.

林义闽,吕乃光,娄小平,等. 用于弱纹理场景三维重建的机器人视觉系统[J]. 光学精密工程, 2015, 23(2):540-549. LIN Y M, LÜ N G, LOU X P, et al.. Robot vision for 3D reconstruction in low texture environment[J]. Opt. Precision Eng., 2015, 23(2):540-549.(in Chinese)

MVNSTERER T, SCHAFHITZEL T, STROBEL M, et al.. Sensor-enhanced 3D conformal cueing for safe and reliable HC operation in DVE in all flight phases[C]. 20th Conference on Degraded Visual Environments-Enhanced,Synthetic, and External Vision Solutions, Baltimore, MD, 2014:90870I-90870I-11.

EBRECHT L, SCHMERWITZ S. Integration of a 3D perspective view in the navigation display-featuring pilot's mental model[C]. 20th Conference on Degraded Visual Environments-Enhanced,Synthetic, and External Vision Solutions, Baltimore, MD, 2015:94710C-94710C-8.

KNABL P M, PEINECKE N. Designing an obstacle display for helicopter operations in degraded visual environment[C].Conference on Human Vision and Electronic Imaging ⅩⅧ, 2013:865111-10.

BAIRD N, CRISAFULLI M. Data fusion for a degraded visual environment solution[C].20th Conference on Degraded Visual Environments-Enhanced,Synthetic, and External Vision Solutions, Baltimore, MO, 2015:947108-947108-9.

Views

513

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰