Accuracy assessment of kinematic PPP versus PPK for GNSS flights data processing

Gürtürk, Mert; Soycan, Metin

doi:10.1080/00396265.2020.1865016

Cited by 9 publications

(7 citation statements)

References 29 publications

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“…Using mixed-dual frequency observations improves the acquired accuracy by 30% over mixed single-frequency observations. The results of Table 3 are in agreement with recent studies [33,35,53,59]. The paper's findings on accuracy and cost percentages provide valuable design guidelines for mobile robot designers, expediting the sustainable integration of outdoor robot-based CPS systems in Industry 4.0.…”

Section: Discussionsupporting

confidence: 86%

“…The findings indicated that both GNSS kinematic PPP and PPP-IAR approaches can achieve precise structural health monitoring of bridges, while PPP-IAR is anticipated to exhibit quicker convergence and greater real-time monitoring accuracy. Gurturk et al presented the possibility of using the PPP-Ambiguity Resolution (AR) method in the precise positioning of the aircraft [53]. GPS data were gathered during two distinct photogrammetric flights conducted within a project aimed at creating a digital photogrammetric map of the Izmir region in Turkey.…”

Section: Introductionmentioning

confidence: 99%

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Kinematic Precise Point Positioning Performance-Based Cost-Effective Robot Localization System

Farah,

Tlija

2023

Applied Sciences

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The use of high-precision positioning systems in modern navigation applications is crucial since location data is one of the most important pieces of information in Industry 4.0, especially for robots operating outdoors. In the modernization process of global navigation satellite system (GNSS) positioning, precise point positioning (PPP) has demonstrated its effectiveness in comparison to traditional differential positioning methods over the past thirty years. However, various challenges hinder the integration of PPP techniques into Internet of Things (IoT) systems for robot localization, with accuracy being a primary concern. This accuracy is impacted by factors such as satellite availability and signal disruptions in outdoor environments, resulting in less precise determination of satellite observations. Effectively addressing various GNSS errors is crucial when collecting PPP observations. The paper investigates the trade-off between kinematic PPP accuracy and cost effectiveness, through the examination of various influencing factors, including the choice of GNSS system (single or mixed), observation type (single or dual frequency), and satellite geometry. This research investigates kinematic PPP accuracy variation on a 10.4 km observed track based on different factors, using the GNSS system (single or mixed), and observation type (single or dual frequency). It can be concluded that mixed (GPS/GLONASS) dual frequency offers a 3D position accuracy of 9 cm, while mixed single frequency offers a 3D position accuracy of 13 cm. In industry, the results enable manufacturers to select suitable robot localization solutions according to the outdoor working environment (number of available satellites), economical constraint (single or dual frequency), and 3D position accuracy.

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Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Kinematic Precise Point Positioning Performance-Based Cost-Effective Robot Localization System

Farah,

Tlija

2023

Applied Sciences

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“…The accuracy of the position data obtained from the GNSS receivers was at the level of 3–4 cm. The position information obtained by the PPK method was matched with the time tags of the images obtained from the camera to obtain the precise position information of the images ( 38 ).…”

Section: Study Site Data Acquisition Systems and Dataset Descriptionmentioning

confidence: 99%

Comparison of Unmanned Aerial Vehicle-LiDAR and Image-Based Mobile Mapping System for Assessing Road Geometry Parameters via Digital Terrain Models

Suleymanoglu

Gürtürk

Yilmaz

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Road condition analysis is an important research topic in many fields (such as intelligent transportation, road safety, road design analysis, and traffic analysis) and depends on road geometry parameters such as longitudinal profile and cross-slope. In this study, the extraction of road geometry parameters by unmanned aerial vehicle (UAV) with LiDAR and by a mobile photogrammetric system (MPS) designed by our research group was investigated. The purpose of this study was to obtain geometric parameters (such as road longitudinal profile and cross-slope) by using digital terrain model (DTM) surfaces derived from point cloud data acquired using UAV-LiDAR and MPS. For this purpose, a framework was developed for the extraction and comparison of longitudinal and cross-sectional profiles. First, the ground filtering approach was used to extract ground points and DTM surfaces generated from an appropriate interpolation algorithm by using ground points. Cross-sectional/longitudinal profiles of the road sections were extracted and compared with reference data. A comparison of the longitudinal profiles obtained from DTMs derived from the MPS and from UAV-LiDAR revealed root mean square error values of 1.8 cm and 2.3 cm, respectively. The average deviation of cross-slopes for both surfaces was 0.19% and 0.18%, respectively. These results show that road geometric parameters can be obtained from DTM surfaces with high accuracy. It can be concluded from the results of this study that MPS can be a favorable alternative for studies on road geometry parameters extraction.

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“…Then, the user employs this information to correct or constrain the ZWD parameter in the PPP-RTK user model. For the PPP-RTK network model, it is generally challenging to mitigate the impact of ZWD by differencing or using the spatial correlation of atmospheric conditions when the interstation distance exceeds 20 km (Deng et al 2014;Gurturk and Soycan 2021). Therefore, it is necessary to carefully consider the method of processing tropospheric wet delay in the PPP-RTK network model.…”

Section: Introductionmentioning

confidence: 99%

Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

Gao,

Liu,

Odolinski

et al. 2024

GPS Solut

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The precise point positioning real-time kinematic (PPP-RTK) is a high-precision global navigation satellite system (GNSS) positioning technique that combines the advantages of wide-area coverage in precise point positioning (PPP) and of rapid convergence in real-time kinematic (RTK). However, the PPP-RTK convergence is still limited by the precision of slant ionospheric delays and tropospheric zenith wet delay (ZWD), which affects the PPP-RTK network parameters estimation and user positioning performance. The present study aims to construct a PPP-RTK model augmented with a priori ZWD values derived from the global forecast system (GFS) product (a global numerical weather prediction (NWP) model) to improve the PPP-RTK performance. This study gives a priori ZWD values and conversion based on the GFS products, and the full-rank GFS-augmented undifferenced and uncombined (UDUC) PPP-RTK network model is derived. To verify the performance of GFS-augmented UDUC PPP-RTK, a comprehensive evaluation using 10-day GNSS observation data from three different GNSS station networks in the United States (US), Australia, and Europe is conducted. The results show that with the GFS ZWD a priori information, PPP-RTK performance significantly improves at the initial filtering stage, but this advantage gradually decays over time. Based on 10-day positioning results for all user stations, the GFS ZWD-augmented PPP-RTK approach reduces the average convergence time by 46% from 10.0 to 5.4 min, the three-dimensional root-mean-square (3D-RMS) error by 5.7% from 3.5 to 3.3 cm, and the time to first fix (TTFF) value by 35.8% from 6.7 to 4.3 min, all when compared to the traditional PPP-RTK without GFS ZWD constraints.

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Accuracy assessment of kinematic PPP versus PPK for GNSS flights data processing

Cited by 9 publications

References 29 publications

Kinematic Precise Point Positioning Performance-Based Cost-Effective Robot Localization System

Kinematic Precise Point Positioning Performance-Based Cost-Effective Robot Localization System

Comparison of Unmanned Aerial Vehicle-LiDAR and Image-Based Mobile Mapping System for Assessing Road Geometry Parameters via Digital Terrain Models

Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation

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