Pub Date : 2017-11-01DOI: 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":"15 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 10.1061/(ASCE)SU.1943-5428.0000225
D. Gautam, A. Lucieer, Z. Malenovský, C. Watson
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.
{"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":"171 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 10.1061/(ASCE)SU.1943-5428.0000240
T. Soler, Jen-Yu Han
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 ...
摘要本文阐述了局部精度概念的新见解。最近发现的证据支持先前发表在该杂志上的方程的数学严谨性。
{"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":"33 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 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":"57 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 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":"38 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 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":"29 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 10.1061/(ASCE)SU.1943-5428.0000235
Xiaoliang Zou, Guihua Zhao, Jonathan Li, Yuanxi Yang, Yong Fang
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).
{"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":"13 1","pages":"0"},"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}
Pub Date : 2017-11-01DOI: 10.1061/(ASCE)SU.1943-5428.0000229
L. Klingbeil, C. Eling, E. Heinz, M. Wieland, H. Kuhlmann
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...
摘要近年来，利用移动传感器平台获取物体几何信息在测量界得到了越来越广泛的应用。一大片麻……
{"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":"55 1","pages":"0"},"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}
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