Development and Evaluation of a Uav Based Mapping System for Remote Sensing and Surveying Applications

Eling, Christian; Wieland, Markus; Heß, Cornelius; Klingbeil, Lasse; Kuhlmann, Heiner

doi:10.5194/isprsarchives-xl-1-w4-233-2015

Cited by 50 publications

(38 citation statements)

References 7 publications

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“…Previous works (Eling, 2015) show that on-board georeferencing allows a 5 cm precision at best. This study seeks a better precision with low heights of flight and ground control points.…”

Section: Ground Control Points Acquisition Processmentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4KEY WORDS: Land Surveying, UAV, Photogrammetry, Point Cloud, 3D Model. ABSTRACT:The use of Unmanned Aerial Vehicles (UAVs) for surveying is now widespread and operational for several applications -quarry monitoring, archeological site surveys, forest management and 3D modeling for buildings, for instance. UAV is increasingly used by land surveyors especially for those kinds of projects. It is still ambiguous whether UAV can be applicable for smaller sites and property division. Therefore, the objective of this research is to extract a vectorized plan utilizing a UAV for a small site and investigate the possibility of an official land surveyor exploiting and certificating it. To do that, two plans were created, one using a UAV and another utilizing classical land surveyor instruments (Total Station). A comparison was conducted between the two plans to evaluate the accuracy of the UAV technique compared to the classical one. Moreover, other parameters were also considered such as execution time and the surface covered. The main problems associated with using a UAV are the level of precision and the visualization of the whole area. The results indicated that the precision is quite satisfactory with a maximum error of 1.0 cm on ground control points, and 4 cm for the rest of the model. On the other hand, the results showed that it is not possible to represent the whole area of interest utilizing a UAV, due to vegetation.

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“…Previous works (Eling, 2015) show that on-board georeferencing allows a 5 cm precision at best. This study seeks a better precision with low heights of flight and ground control points.…”

Section: Ground Control Points Acquisition Processmentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

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“…However, further development is necessary, thereby focusing on lightweight but precise GPS receivers and IMU systems, on UAVs due to their limited payload, and on hand-held devices due to their feasibility (e.g. Eling et al, 2015).…”

Section: Direct Geo-referencingmentioning

confidence: 99%

Image-based surface reconstruction in geomorphometry – merits, limits and developments

et al. 2016

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Abstract. Photogrammetry and geosciences have been closely linked since the late 19th century due to the acquisition of high-quality 3-D data sets of the environment, but it has so far been restricted to a limited range of remote sensing specialists because of the considerable cost of metric systems for the acquisition and treatment of airborne imagery. Today, a wide range of commercial and open-source software tools enable the generation of 3-D and 4-D models of complex geomorphological features by geoscientists and other non-experts users. In addition, very recent rapid developments in unmanned aerial vehicle (UAV) technology allow for the flexible generation of high-quality aerial surveying and ortho-photography at a relatively low cost.The increasing computing capabilities during the last decade, together with the development of highperformance digital sensors and the important software innovations developed by computer-based vision and visual perception research fields, have extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure-from-motion (SfM) workflows are based upon algorithms for efficient and automatic orientation of large image sets without further data acquisition information, examples including robust feature detectors like the scale-invariant feature transform for 2-D imagery. Nevertheless, the importance of carrying out well-established fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors, still needs to be adapted in the common scientific practice.This review intends not only to summarise the current state of the art on using SfM workflows in geomorphometry but also to give an overview of terms and fields of application. Furthermore, this article aims to quantify already achieved accuracies and used scales, using different strategies in order to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that some lessons learned from former articles, scientific reports and book chapters concerning the identification of common errors or "bad practices" and some other valuable information may help in guiding the future use of SfM photogrammetry in geosciences.

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“…The Trimble UX-5 writes down navigational parameters of position and orientation of an unmanned aircraft in the form of text file with the expansion *.log" (Kedzierski et al, 2016b). The target accuracy of co-ordinate delimitation of an unmanned aircraft should not cross 10 m, whereas accordingly or angles of the turnover is taking out to 5 0 (Eling et al, 2015). Analysis of the prediction for geocentric XYZ coordinates which are received as a result of the Helmert transformation from geodetic BLh coordinates were made in the paper.…”

Section: Research Experimentsmentioning

confidence: 99%

The Prediction of Position and Orientation Parameters of Uav for Video Imaging

Wierzbicki

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The paper presents the results of the prediction for the parameters of the position and orientation of the unmanned aerial vehicle (UAV) equipped with compact digital camera. Issue focus in this paper is to achieve optimal accuracy and reliability of the georeferenced video frames on the basis of data from the navigation sensors mounted on UAV. In experiments two mathematical models were used for the process of the prediction: the polynomial model and the trigonometric model. The forecast values of position and orientation of UAV were compared with readings low cost GPS and INS sensors mounted on the unmanned Trimble UX-5 platform. Research experiment was conducted on the preview of navigation data from 23 measuring epochs. The forecast coordinate values and angles of the turnover and the actual readings of the sensor Trimble UX-5 were compared in this paper. Based on the results of the comparison it was determined that: the best results of co-ordinate comparison of an unmanned aerial vehicle received for the storage with, whereas worst for the coordinate Y on the base of both prediction models, obtained value of standard deviation for the coordinate XYZ from both prediction models does not cross over a admissible criterion 10 m for the term of the exactitudes of the position of a unmanned aircraft. The best results of the comparison of the angles of the turn of a unmanned aircraft received for the angle Pitch, whereas worst for the angles Heading and Roll on the base of both prediction models. Obtained value of standard deviation for the angles of turn HPR from both prediction models does not exceed a admissible exactitude 5⁰ only for the angle Pitch, however crosses over this value for the angles Heading and Roll.

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Development and Evaluation of a Uav Based Mapping System for Remote Sensing and Surveying Applications

Cited by 50 publications

References 7 publications

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Image-based surface reconstruction in geomorphometry – merits, limits and developments

The Prediction of Position and Orientation Parameters of Uav for Video Imaging

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