系统仿真学报 ›› 2016, Vol. 28 ›› Issue (10): 2349-2355.

• 仿真建模理论与方法 • 上一篇    下一篇

一种基于单目SLAM的无人机序列图像拼接方法

马跃龙1, 赵勇2, 曹雪峰1   

  1. 1.信息工程大学,河南 郑州 450002;
    2.西北工业大学,陕西 西安 710072
  • 收稿日期:2016-05-23 修回日期:2016-07-16 出版日期:2016-10-08 发布日期:2020-08-13
  • 作者简介:马跃龙(1984-),男,内蒙古开鲁,博士生,研究方向为计算机视觉;赵勇(1984-),男,湖南湘潭,硕士,研究方向为计算机视觉。
  • 基金资助:
    国家自然科学基金(41401465,41371384)

Mono-SLAM Based Method for Stitching Images of Sequence From UAV

Ma Yuelong1, Zhao Yong2, Cao Xuefeng1   

  1. 1. Information Engineering University, Zhengzhou 450002, China;
    2. Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2016-05-23 Revised:2016-07-16 Online:2016-10-08 Published:2020-08-13

摘要: 由无人机序列图像生成正射影像图是获取大范围正射影像图的一种有效方法。基于SfM生成正射影像图的方法计算量大,耗时长,所生成的正射影像图可视化效果较差。设计了基于单目SLAM的无人机序列图像增量式拼接算法,实现了大范围场景正射影像图的实时生成。通过单目SLAM系统实时估计相机位置与姿态,获取无人机飞行轨迹,同时生成3D点云地图。通过SLAM环路检测与基于位姿图的局部优化,有效降低了估计误差累积的影响,在保持估计精度的同时实现了优化操作的最小化。利用所提出的自适应权重的多频带算法,实现正射影像图的实时拼接融合与显示。通过实验验证了本方法的实时性与有效性。

关键词: 序列图像, 图像拼接, 正射影像图, 单目SLAM

Abstract: It is an effective method to generate orthoimage from image sequence obtained from UAV. Most of the SfM-based methods for generating orthoimage are expensive computation and need hours or more to process image sequence, but the orthoimages generated finally are not satisfactory most of the time. An algorithm to stitch image sequence obtained from UAV incrementally was designed based on monocular SLAM generating orthoimage for large-scale instantaneously. Through the flow of SLAM, the system could estimate the position and attitude of the camera and the trajectory of UAV, meanwhile, generate a map of 3D point cloud. With the detection of loop-closure within SLAM and local optimization based on pose-graph, the system could minimize the impact of error accumulation and the computation for optimization, meanwhile, retain the accuracy. With the proposed adaptive weighted multiband algorithm, the system could fuse and visualize the orthoimage instantaneously. The experiment results demonstrate the efficient and effective of the proposed algorithm.

Key words: image sequence, image stitching, orthoimage, mono slam

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