基于TX1和立体相机的无人机避障系统
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  • 英文篇名:Obstacle Avoidance System for an Unmanned Aeria(UAV) by Using TX1 and Stereo Camera
  • 作者:裘希菲
  • 英文作者:QIU Xifei;Shanghai SIPO Polytechnic;
  • 关键词:无人机 ; 立体相机 ; GPU ; 图像处理
  • 英文关键词:unmanned aerial vehicle(UAV);;stereo camera;;GPU;;image processing
  • 中文刊名:JCDL
  • 英文刊名:Application of IC
  • 机构:上海思博职业技术学院;
  • 出版日期:2019-01-31 10:58
  • 出版单位:集成电路应用
  • 年:2019
  • 期:v.36;No.305
  • 基金:上海思博职业技术学院科技创新课题项目
  • 语种:中文;
  • 页:JCDL201902010
  • 页数:4
  • CN:02
  • ISSN:31-1325/TN
  • 分类号:47-50
摘要
提高无人机的精度和处理性能是目前研究的一个热点。提出一种新的无人机图像处理和数据分析方法,使无人机在不同环境下能探测障碍物并找到最佳的飞行方向。该方法利用立体相机拍摄两幅不同的图像,然后利用图形处理单元(GPU)进行数据分析。与传统的CPU数据分析相比,可减少计算时间。该方法侧重于探测障碍物,并为无人机确定正确的飞行方向。
        A popular topic for researchers is increasing the accuracy and processing performance of unmanned aerial vehicles(UAVs). This paper presents a novel image processing and data analysis method for UAVs to detect obstacles and find the optimal correct flight direction while the UAV is indifferent environments. This paper's proposed approach uses a stereo camera to grab two different images, and it then uses a graphic processing unit(GPU) to do data analysis. This will decrease the calculation time compared to data analysis in CPU.The approach focuses on finding obstacles and detecting the correct route position for the UAV.
引文
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