Journal of Surveying Engineering-asce最新文献

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Array-aided single-frequency state-space RTK with combined GPS, Galileo, IRNSS, and QZSS L5/E5a observations 结合GPS、Galileo、IRNSS和QZSS L5/E5a观测的阵列辅助单频状态空间RTK
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000227
Wei Li, N. Nadarajah, P. Teunissen, A. Khodabandeh, Yanju Chai
{"title":"Array-aided single-frequency state-space RTK with combined GPS, Galileo, IRNSS, and QZSS L5/E5a observations","authors":"Wei Li, N. Nadarajah, P. Teunissen, A. Khodabandeh, Yanju Chai","doi":"10.1061/(ASCE)SU.1943-5428.0000227","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000227","url":null,"abstract":"","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125199031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Comparison of MEMS-based and FOG-based IMUs to determine sensor pose on an unmanned aircraft system 基于mems和基于fog的imu在无人机系统传感器位姿确定中的比较
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000225
D. Gautam, A. Lucieer, Z. Malenovský, C. Watson
{"title":"Comparison of MEMS-based and FOG-based IMUs to determine sensor pose on an unmanned aircraft system","authors":"D. Gautam, A. Lucieer, Z. Malenovský, C. Watson","doi":"10.1061/(ASCE)SU.1943-5428.0000225","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000225","url":null,"abstract":"Small-sized unmanned aircraft systems (UAS) are restricted to use only lightweight microelectromechanical systems (MEMS)- based inertial measurement units (IMUs) due to their limited payload capacity. Still, some UAS-based geospatial remote sensing applications, such as airborne spectroscopy or laser scanning, require high accuracy pose (position and orientation) determination of the onboard sensor payload. This study presents ground-based experiments investigating the pose accuracy of two MEMS-based IMUs: the single-antennaMTi-G-700 (Xsens, Enschede, Netherlands) and the dual-antenna/dual-frequency Spatial Dual IMU (Advanced Navigation, Sydney, Australia)/global navigation satellite system (GNSS).A tightly coupled and postprocessed pose solution froma fiberoptic gyroscope (FOG)-based NovAtel synchronized position attitude navigation (SPAN) IMU (NovAtel, Calgary, Canada) served as a reference to evaluate the performance of the two IMUs under investigation. Results revealed a better position solution for the Spatial Dual, and the MTi-G-700 achieved a better roll/pitch accuracy. Most importantly, the heading solution from the dual-antenna configuration of the Spatial Dual was found to be more stable than the heading obtained with the reference SPANIMU.","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Kalman Filtering–Based Real-Time Inertial Profiler 基于卡尔曼滤波的实时惯性轮廓仪
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000234
Yu Cai
{"title":"Kalman Filtering–Based Real-Time Inertial Profiler","authors":"Yu Cai","doi":"10.1061/(ASCE)SU.1943-5428.0000234","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000234","url":null,"abstract":"","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129122273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Rigorous Estimation of Local Accuracies Revisited 再论局部精度的严格估计
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000240
T. Soler, Jen-Yu Han
{"title":"Rigorous Estimation of Local Accuracies Revisited","authors":"T. Soler, Jen-Yu Han","doi":"10.1061/(ASCE)SU.1943-5428.0000240","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000240","url":null,"abstract":"AbstractNew insights about the concept of local accuracies are elaborated in this article. Recently found evidence supports the mathematical rigor of equations previously published in this journal ...","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Weighted Total Least Squares with Singular Covariance Matrices Subject to Weighted and Hard Constraints 加权硬约束下奇异协方差矩阵的加权总最小二乘
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000239
A. Amiri-Simkooei
{"title":"Weighted Total Least Squares with Singular Covariance Matrices Subject to Weighted and Hard Constraints","authors":"A. Amiri-Simkooei","doi":"10.1061/(ASCE)SU.1943-5428.0000239","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000239","url":null,"abstract":"Weighted total least squares (WTLS) has been widely used as a standard method to optimally adjust an errors-in-variables (EIV) model containing random errors both in the observation vector and in the coefficient matrix. An earlier work provided a simple and flexible formulation forWTLS based on the standard least-squares (SLS) theory. The formulation allows one to directly apply the available SLS theory to the EIV models. Among such applications, this contribution formulates the WTLS problem subject to weighted or hard linear(ized) equality constraints on unknown parameters. The constraints are to be properly incorporated into the system of equations in an EIV model of which a general structure for the (singular) covariance matrix QA of the coefficient matrix is used. The formulation can easily take into consideration any number of weighted linear and nonlinear constraints. Hard constraints turn out to be a special case of the general formulation of the weighted constraints. Because the formulation is based on the SLS theory, the method automatically approximates the covariance matrix of the estimates from which the precision of the constrained estimates can be obtained. Three numerical examples with different scenarios are used to demonstrate the efficacy of the proposed algorithm for geodetic applications. DOI: 10.1061/(ASCE)SU.1943-5428.0000239.© 2017 American Society of Civil Engineers. Author keywords: Weighted total least squares (WTLS); Errors-in-variables (EIV) model; Linear equality constraints; Two-dimensional (2D) affine transformation.","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Monitoring and Analyzing Displacement of Large-Span Spoke-Type Cable Structure Roof 大跨度轮辐式索结构屋盖位移监测与分析
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000237
Deng Hui, Li Hongyang, S. Cheng, Jiang Yiping
{"title":"Monitoring and Analyzing Displacement of Large-Span Spoke-Type Cable Structure Roof","authors":"Deng Hui, Li Hongyang, S. Cheng, Jiang Yiping","doi":"10.1061/(ASCE)SU.1943-5428.0000237","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000237","url":null,"abstract":"","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116566720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Positioning Slow-Moving Platforms by UWB Technology in GPS-Challenged Areas 利用超宽带技术在gps定位困难地区定位缓慢移动平台
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000231
C. Toth, G. Jóźków, Zoltán Koppányi, D. Grejner-Brzezinska
{"title":"Positioning Slow-Moving Platforms by UWB Technology in GPS-Challenged Areas","authors":"C. Toth, G. Jóźków, Zoltán Koppányi, D. Grejner-Brzezinska","doi":"10.1061/(ASCE)SU.1943-5428.0000231","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000231","url":null,"abstract":"","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125168112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
Improved Method for Estimating the Ocean Tide Loading Displacement Parameters by GNSS Precise Point Positioning and Harmonic Analysis 基于GNSS精确点定位和谐波分析的海潮载荷位移参数估计改进方法
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000222
R. Tu, Hong Zhao, Pengfei Zhang, Jinhai Liu, Xiaochun Lu
{"title":"Improved Method for Estimating the Ocean Tide Loading Displacement Parameters by GNSS Precise Point Positioning and Harmonic Analysis","authors":"R. Tu, Hong Zhao, Pengfei Zhang, Jinhai Liu, Xiaochun Lu","doi":"10.1061/(ASCE)SU.1943-5428.0000222","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000222","url":null,"abstract":"","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133932742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Multiview Matching Algorithm for Processing Mobile Sequence Images 移动序列图像处理的多视图匹配算法
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000235
Xiaoliang Zou, Guihua Zhao, Jonathan Li, Yuanxi Yang, Yong Fang
{"title":"Multiview Matching Algorithm for Processing Mobile Sequence Images","authors":"Xiaoliang Zou, Guihua Zhao, Jonathan Li, Yuanxi Yang, Yong Fang","doi":"10.1061/(ASCE)SU.1943-5428.0000235","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000235","url":null,"abstract":"The paper presents a multiview matching algorithm for processing sequence images acquired by a mobile mapping system (MMS). The workflow of the multiview matching algorithm is designed, and the algorithm is based on motion analysis of sequence images in computer vision. To achieve a high multiview matching accuracy, camera lens distortion in sequence images is first corrected, and images can then be resampled. Image points on sequence images are extracted using the Harris operator. The homologous image points are then matched based on correlation coefficients and used to make a robust estimation for a fundamental matrix F between the two adjacent images using the random sample consensus (RANSAC) algorithm. The fundamental matrix F is calculated under the condition of epipolar line constraints. Finally, the trifocal tensor T of the three-view images is calculated to achieve highly accurate triplet image points. These triplet image points are then provided as the initial value for bundle adjustment. The algorithm was tested using a set of sequence images. The results demonstrate that the designed workflow is available and the algorithm is promising in terms of both accuracy and feasibility. DOI: 10.1061/(ASCE) SU.1943-5428.0000235. This work is made available under the terms of the Creative Commons Attribution 4.0 International license, http:// creativecommons.org/licenses/by/4.0/. Author keywords: Sequence images; Multiview matching; Harris operator; Correlation coefficient; Random sample consensus (RANSAC); Trifocal tensor; Computer vision (CV); Mobile mapping system (MMS).","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121651695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Direct Georeferencing for Portable Mapping Systems: In the Air and on the Ground 便携式测绘系统的直接地理参考:空中和地面
Journal of Surveying Engineering-asce Pub Date : 2017-11-01 DOI: 10.1061/(ASCE)SU.1943-5428.0000229
L. Klingbeil, C. Eling, E. Heinz, M. Wieland, H. Kuhlmann
{"title":"Direct Georeferencing for Portable Mapping Systems: In the Air and on the Ground","authors":"L. Klingbeil, C. Eling, E. Heinz, M. Wieland, H. Kuhlmann","doi":"10.1061/(ASCE)SU.1943-5428.0000229","DOIUrl":"https://doi.org/10.1061/(ASCE)SU.1943-5428.0000229","url":null,"abstract":"AbstractDuring the last few years, the acquisition of geometric information about objects by using a moving sensor platform has gained increasing popularity in the surveying community. A large numb...","PeriodicalId":210864,"journal":{"name":"Journal of Surveying Engineering-asce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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