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dc.contributor.author李維民en_US
dc.contributor.authorLee, Wei-Minen_US
dc.contributor.author蕭得聖en_US
dc.contributor.authorHsiao, Te-Shengen_US
dc.date.accessioned2014-12-12T01:35:27Z-
dc.date.available2014-12-12T01:35:27Z-
dc.date.issued2009en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079667521en_US
dc.identifier.urihttp://hdl.handle.net/11536/43795-
dc.description.abstract依據Strategy Analytics的估算,2006年全球停車安全輔助系統市場規模約為6.19億美元,估計至2013年時市場規模可望達到10.22億美元。目前市售車針對停車輔助系統,均利用單顆CCD/CMOS廣角相機,在考量不改變原有車上裝配,我們即以單顆CCD/CMOS廣角相機發展障礙物偵測與距離估測演算法。 障礙物之定義為:當駕駛者所駕駛之車輛,發生碰撞時,會造成車體損傷與生命威脅之物體皆定義為障礙物。但障礙物種類繁多,倒車環境背景複雜,所以必須要有適當特徵來描述障礙物,因此利用大部份障礙物皆有的底部陰影,與物體邊緣特性,作為是否有障礙物存在依據。依據此方法實現之障礙物偵測,可偵測至少達到4種以上障礙物。 距離估測是利用透視投影、座標平移與旋轉技巧,建立二維地面座標與二維影像座標間之關係,並利用魚眼數學模型,建立二維影像座標與二維失真影像(整數)座標關係。關係建立正確後,即可利用二維的失真影像座標求得二維地面座標的距離值。依據實驗結果,距離估測精確度可達公分等級,且誤差小於十公分。zh_TW
dc.description.abstractAccording to the report of Strategy Analytics in 2006, there is an amount of US$619-million market for worldwide parking safety assistance systems. It is estimated that the amount will rise to US$1.022 billion in 2013. The cars currently available in the market are equipped with a monocular CCD/CMOS wide angle camera for their parking assistance system. To comply with current vehicular specifications, this configuration is also adapter in this study. Obstacles are defined as items that could cause car damage and/or human injuries in collisions. However, there are many types of complex obstacles and settings where reverse parking occurs, so a sufficiently large number of categories are required when describing these obstacles. Thus, the shadow below the obstacles and their edges could be used to detect the presence of obstacles. Using this method, one could detect more than 4 types of obstacles at a time. Distance estimation uses perspective projection,coordinate shifting and rotating techniques to establish the relationship between the 2D ground coordinates and the 2D image coordinates, and uses a fish-eye mathematical mode to establish the relationship between the 2D image coordinates and the 2D lossy images (whole numbers) coordinates. After confirming their relationship, the distance value of the 2D lossy image coordinates and the 2D ground coordinates could be used. According to the results of the study, the accuracy rate of the distance estimation could be as close as a few centimeters, and the deviation range could be as small as 10 centimeter.en_US
dc.language.isozh_TWen_US
dc.subject障礙物偵測zh_TW
dc.subject距離估測zh_TW
dc.subject倒車zh_TW
dc.subject透視投影zh_TW
dc.subjectObstacle Detectionen_US
dc.subjectDistance Estimationen_US
dc.subjectReverse Parkingen_US
dc.subjectperspective projectionen_US
dc.title以單眼視覺演算實現倒車障礙物偵測與距離估測zh_TW
dc.titleMonocular Vision-based Obstacle Detection and Distance Estimation for Reverse Parkingen_US
dc.typeThesisen_US
dc.contributor.department電機學院電機與控制學程zh_TW
Appears in Collections:Thesis


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