教師資料查詢 | 類別: 期刊論文 | 教師: 李祖添 TSU-TIAN LEE (瀏覽個人網頁)

標題:Structure From Motion Technique for Scene Detection Using Autonomous Drone Navigation.
學年106
學期1
出版(發表)日期2017/09/14
作品名稱Structure From Motion Technique for Scene Detection Using Autonomous Drone Navigation.
作品名稱(其他語言)
著者Y.-P. Huang; L. Sithole; T.-T. Lee
單位
出版者
著錄名稱、卷期、頁數IEEE Transactions on Systems, Man, and Cybernetics: Systems, p.1-12.
摘要Abstract:
A method is presented for scene detection and estimation using high-resolution imagery acquired through autonomous drone navigation aided with landmark detection and recognition. The proposed system comprises a drone platform that facilitates efficient autonomous flight; it can capture images and provide real-time video streaming of the ground cover using a camera equipped with a 14-megapixel CMOS sensor and a fish-eye lens. In addition, landmark detection and recognition was performed by applying the histogram of oriented gradients and linear support vector machine methods on each frame of the video stream. The high spatial resolution of the acquired drone images makes the detection and interpretation of environments less complicated. First, through image processing, orthomosaic images and 3-D environment reconstruction (point clouds) of the scene are generated from a set of drone images by using an automatic photogrammetric technique called ``structure from motion.'' Subsequently, an unsupervised classification method is used to detect and differentiate environmental classes (scene interpretation) in the target or investigated area by using the high-resolution images. Finally, the results of the proposed method are evaluated by comparing them against ground-truth points.
關鍵字Drones;Feature extraction;Streaming media;Cameras;Three-dimensional displays;Global Positioning System
語言英文(美國)
ISSN
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!