ENGLISH

24卷/3期

24卷/3期

華藝線上圖書館

Pages:

147-159

論文名稱

球形環景影像之自動化共軛點搜尋

Title

Automatic Conjugate Point Searching of Spherical Panorama Images

作者

陳品云、曾義星

Author

Pin-Yun Chen, Yi-Hsing Tseng

中文摘要

本研究針對球形環景影像(Spherical Panorama Images, SPI)發展了一種基於區域式的多重影像匹配策略,透過核幾何約制與物空間匹配建立假設面,在影像上進行自動化搜尋,獲取目標點位在其他張環景影像上之的共軛點位置。使用一室內實驗場拍攝得之五張SPI影像進行匹配測試,影像外方位透過已知控制點進行光束法平差取得。使用原始影像與物空間影像搭配兩種相似度指標ANCC與YARD,對五個目標點位進行匹配與定位測試。利用匹配得到的相似曲線圖和物點定位成果在三軸的平均誤差與均方根誤差進行評估,發現使用物空間影像可達到較良好的匹配與定位成果,透過物空間匹配可改善影像尺度和拍攝視角不同所造成的問題,提升影像匹配可靠度。

Abstract

In this study, an area-based matching strategy is proposed for conjugate point searching between multiple spherical panorama images (SPIs). With the concept of collinearity and epipolar constraint, object space images are produced for matching to prevent the problem caused by different viewing perspective and scale variation. Two matching index, Average Normalized Cross Correlation(ANCC) and Yet Another Reconstruction Dataprogram (YARD) index are used to check the similarity between images within the searching range, the position which has the highest similarity is regard as the conjugate point position. An indoor text field with five SPIs is set for image matching text, the exterior orientation parameters (EOPs) of SPIs are obtained by the multi-station network adjustment in advance. The mean difference and the root mean square difference (RMSD) of positioning results are compared, and the result shows better matching accuracy can be performed by object space matching.

關鍵字

球形環景影像、可攜式移動測繪系統、物空間匹配

Keywords

Spherical Panorama Images, Portable Panoramic Image Mapping System, Matching in the Object Space

附件檔名

華芸線上圖書館

http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10218661-201909-201910020007-201910020007-147-159

備註說明

N / A

Pages:

161-171

論文名稱

空氣品質、天氣概況與公共自行車租借行為之關聯性分析:以臺北市為例

Title

The Analysis of the Relationship between Air Quality, Weather Conditions and Rental Activities of Public Bicycle-Sharing System in Taipei City

作者

李俊毅、王聖鐸

Author

Chun-Yi Li, Sendo Wang

中文摘要

公共自行車系統已於臺北市實施近10年,隨著租借站建置完整,已成為臺北市公共運輸系統的一環。由於公共自行車使用者騎乘路線絕大部分為戶外環境,此外臺灣常年於冬季與春季好發高濃度之懸浮微粒事件,空氣中的懸浮微粒容易進入人體之呼吸道與血管內,可能導致身體不適或提高心血管疾病之風險。空氣品質和天氣概況是否對於公共自行車的使用行為造成影響?本研究利用皮爾森相關係數、迴歸分析方法進行資料分析,探討2016年11月至2017年10月臺北市公共自行車租借行為與天氣、空氣品質之間的關係。研究結果顯示天氣相關變數中降雨對於租借率為顯著負相關;氣溫、風速以及細懸浮微粒濃度對於租借率無顯著影響力。

Abstract

Public Bicycle-Sharing System (PBS) has been developed for a decade in Taipei City. As the construction of the rental station has gradually become complete, it has become one of the public transport systems in Taipei City. Since the usage of PBS in outdoor environments, not only that, Taiwan has a high concentration of particulate matter in winter and spring. The particulate matter in the air easily enter the respiratory tract and blood vessels of the human body, which may cause physical discomfort or increase the risk of cardiovascular disease. Does air quality and weather profile have an impact on the use of public bicycles? The study used Pearson Correlation Coefficient and Regression Analysis method to analyze the relationship between PBS rental behavior and weather and air quality from November, 2016 to October, 2017 in Taipei City. The results show that rainfall in the weather-related variables is significantly negatively correlated with the rental rate of PBS; temperature, wind speed and concentration of PM2.5 have no significant effect.

關鍵字

公共自行車系統、懸浮微粒、天氣條件、迴歸分析

Keywords

Public Bicycle-Sharing System, Particulate Matter, Weather Conditions, Regression Analysis

附件檔名

華芸線上圖書館

http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10218661-201909-201910020007-201910020007-161-171

備註說明

N / A

Pages:

173-182

論文名稱

自駕車使用之高精度地圖規範擬定與資料蒐集處理之可行性評估

Title

Feasible Assessment of Regulation and Data Collection Process in HD Maps Used For Autonomous Vehicle

作者

曾芷晴、徐珮晴、張清鴻、李育華、江凱偉、王靚琇、黃鉅富、吳俊毅

Author

Jhih-Cing Zeng, Pei-Ching Hsu, Ching-Hung Chang, Yu-Hua Li, Kai-Wei Chiang, Jing-Shiou Wang, Jiu-Fu Huang, Jiun-Yi Wu

中文摘要

因應無人駕駛時代來臨,國內外學者及企業相繼投入相關研究及開發,預先建置的三維高精度地圖(High Definition map, HD Map)成為自動駕駛不可或缺的技術。有鑑於我國於自動駕駛使用之高精度地圖與相關建置規範尚無統一之作業標準,同時原有的製圖規範已無法全然滿足高精度地圖的製作、維護及檢核需求,爰本研究針對高精度地圖之製圖規範、精度要求、作業方法與標準流程等有關項目,基於廣泛文獻回顧並根據特徵自動辨識與精準定向定位需求,進行先期可行性評估,以供各界產官學者進行後續發展。

Abstract

Reacting to the era of autonomous vehicle, various domestic and foreign experts and companies have been actively involved in related studies and development. The technique which uses the pre-build three-dimensional high definition map (HD Maps) to aid the ability of positioning and orientation efficiently is indispensable. The ultimate goal is to provide autonomous vehicles with assistant information and ensure that they can drive safely and accurately during the whole process without human intervention. Currently, there is still no universal standard workflow for HD Maps and related regulations in our country. The existing mapping regulations and specifications are no longer meet the requirements for the construction, maintenance and inspection of HD Maps. Hence, this research proposes the concept of definition of mapping specifications, accuracy requirements, operation method, standard procedure and other related works for HD Maps based on literature reviews. To sum up, we will conduct preliminary feasible assessment and offer the contents to experts and scholars for further researches and development.

關鍵字

高精度地圖、自動駕駛、製圖規範

Keywords

HD Maps, autonomous vehicle, mapping regulation

附件檔名

華芸線上圖書館

http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10218661-201909-201910020007-201910020007-173-182

備註說明

N / A

Pages:

183-196

論文名稱

建立水稻田產量估算的創新方法:結合蒙地卡羅和物件區塊化的演算法

Title

The Study of Estimation Production on Paddy Rice New Approach: Integration on Monte Carlo simulation and Regional Object-based Classification

作者

萬絢、鄭育欣、李哲源

Author

Shiuan Wan, Yu-Hsin Cheng, Che-yuan Li

中文摘要

鑑於水稻為國內最重要的糧食作物,然推估其產量是困難工作,傳統研究水稻產量方式為,以坵塊在不同耕地之多時期之一系列影像圖片,利用各坵塊內之光譜植生指標隨時間的變化,進以影像差分分類法,先評估種植範圍,再結合地真實際產量,過去方法僅以迴歸方式進行產量推估,但比對不同年期之推估產量與實際產量,出現誤差大問題,對產量推估成果相當有限。本研究與中興測量合作開發,透過高光譜影像和正射影像先進行稻田影像區塊化作業(Regional Object-based Classification, ROC),針對每一個稻田區塊再利用亂數基礎分類法(entropy-based classification, EBC)合併蒙地卡羅法(Monte Carol method)的整合技術分析影像內容,計算每一個區塊的生產密度,推估稻田合理產量,對農業產量的推估精確度有研究貢獻。應用ROC+蒙地卡羅法推估值誤差約在14.5%,標準差在1.24 ton/ha。

Abstract

Whereas the paddy rice has played an important role on the life of human being, however, the estimation of its production is a difficult task. In tradition, the difference image classification on image data combine with levees is a major solution for their location and distribution. It includes the variation of each indicators of vegetation. On the other hand, the amounts of the relative error on the production of the paddy rice are quite large based on the developed regression equation. This study cooperated with Chun Hsing Survey applying the hyperspectral imagery data. The orthophotos are first used to perform the ROC (Regional Object-based Classification) and the entropy-based classification (EBC) for classifying each rice levee of field. The Monte Carlo method to analyze the image content, calculate the production density of each block, estimate the reasonable yield of rice fields, and make an absolute contribution to the accuracy of agricultural yield estimation. The ROC+ Monte Carlo method is used to estimate the error of about 14.5% and the standard deviation is 1.24 ton/ha.

關鍵字

影像判釋、影像區塊化、蒙地卡羅法

Keywords

Image classification, Regional Object-based Classification, Monte Carlo method

附件檔名

華芸線上圖書館

http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10218661-201909-201910020007-201910020007-183-196

備註說明

N / A

Pages:

197-210

論文名稱

運用DSRC與GNSS RTK技術於汽車避撞之應用

Title

Vehicle-to-Vehicle Anti-Collision Warning System Using DSRC and GNSS RTK Technology

作者

林奕秀、劉瑋傑、林修國

Author

Yi-Hsiu Lin, Wei-Chieh Liu, Shiou-Gwo Lin

中文摘要

車對車(Vehicle-to-vehicle, V2V)防碰撞警示在無法有通視的情形下,可利用即時高精度定位搭配車間的即時通訊來達成,本研究結合RTK技術及DSRC技術來達成上述需求。在進行GNSS RTK時,車輛上之GNSS接收器接收於採集衛星數據時,亦接收來自基準站觀測數據和測站信息,並在系統內對此兩組數據進行相對定位即時運算以實現高精度定位;而DSRC技術則使車輛能在數十公尺內進行直接雙向的訊息傳遞,且提供高速的數據傳輸,確保車輛在高速移動的情況下保有信息傳遞的實時性。結合此二技術應用於車對車防碰撞警示系統,使駕駛者有足夠的反應時間,避免交通事故發生。

Abstract

Vehicle-to-vehicle anti-collision warning can be achieved by using real-time high-precision positioning and instant communication among vehicles when there is no way to see, and the article combines the RTK technology and the DSRC technology to meet the requirements. When doing the GNSS RTK positioning, the GNSS receiver on the vehicle receives the observation data and the station information from the reference station when collecting the satellite data. Then, the instantly relative positioning is performed on the two sets of data to achieve high-precision positioning. The DSRC technology enables vehicles to directly transmit two-way messages within tens of meters, and provides high-speed data transmission to ensure real-time information transmission while the vehicle is moving at high speed. With the two technologies, the vehicle-to-vehicle anti-collision warning system makes the driver have sufficient reaction time, preventing the traffic accident.

關鍵字

專用短程通信技術、全球導航衛星系統、即時動態定位技術

Keywords

DSRC, GNSS, RTK

附件檔名

華芸線上圖書館

http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10218661-201909-201910020007-201910020007-197-210

備註說明

N / A

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