Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/98382
標題: 先進騎乘鳥瞰環景影像之研究
Study on Advanced Riding Panoramic Bird-Eye's View Systems
作者: 余信宏
Hsin-Hung Yu
關鍵字: 環景影像;俯視影像;Panoramic image;top-view image
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[19] Wikipedia, Scale-invariant feature transform https://en.wikipedia.org/wiki/Scale-invariant_feature_transform [20] OpenCV 3.0.0-dev documentation Introduction to SIFT https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.html [21] Bay, H., Ess, A., Tuytelaars, T., and Van Gool, L. 'Speeded-up robust features (SURF).' Computer vision and image understanding 110.3 (2008): 346-359. [22] Wikipedia, Speeded up Robust Features https://en.wikipedia.org/wiki/Speeded_up_robust_features [23] OpenCV 3.0.0-dev documentation SURF https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_surf_intro/py_surf_intro.html [24] SIFT 與SURF的比較 https://blog.csdn.net/jwh_bupt/article/details/6567452 [25] Brown, Matthew, and David G. Lowe. 'Automatic panoramic image stitching using invariant features.' International journal of computer vision 74.1 (2007): 59-73. 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摘要: 
在現今的社會,智慧車產業的蓬勃,帶動汽車電子化的科技日益發展,越來越多關於車用的輔助系統被發展出來,或是開發出更智慧的車用配備,像是各項的感測器。本論文提出利用鳥瞰影像的方式來呈現另外一種的環景影像,提供駕駛者更完整的路況車況。
此系統利用架設在騎乘載具四周的攝影機,取得影像來源,藉由此四張不同方向的影像來完成鳥瞰式環景影像。此系統除了傳統的鳥瞰影像,還有跟以往不同的鳥瞰方式,利用不同視角的方式來呈現不同的鳥瞰影像,可以提供不一樣的視覺感知,讓用路人可以收到不同的車況路況資訊,盡可能的提前預防可以會發生的危險,達到安全的駕駛。此研究目標有三大設計挑戰以及研究課題: 〈一〉從一般影像到鳥瞰影像的形成方法;〈二〉利用鳥瞰影像完成環景影像的方法;〈三〉即時的影像輸出,由於攝影機是採用廣角鏡頭,所以利用棋盤格的方式來校正影像,徑而再利用影像變形來取得俯視影像,接著使用影像融合的方法來完成鳥瞰環景影像。
根據實驗結果,利用旋轉影像以及投影的方式就可以達到俯視的效果,更進一步的得到後俯視的效果,藉由騎乘載具與影像的相對位置得到需要接合的影像,採用多層影像融合的方法來完成環景影像,最後獲得的影像與一般的俯視環景影像有所不同,本論文稱為後俯視影像,其影像可以呈現的影像資訊與一般的有所不同,可以讓駕駛者得到不同的資訊,進而能更安全的駕駛。
URI: http://hdl.handle.net/11455/98382
Rights: 同意授權瀏覽/列印電子全文服務,2018-08-28起公開。
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