Literature DB >> 34199821

A Test on the Potential of a Low Cost Unmanned Aerial Vehicle RTK/PPK Solution for Precision Positioning.

Nicola Angelo Famiglietti1, Gianpaolo Cecere1, Carmine Grasso1, Antonino Memmolo1, Annamaria Vicari1.   

Abstract

This paper investigated the achievable accuracy from a low-cost RTK (Real Time Kinematic)/PPK (Post Processing Kinematic) GNSS (Global Navigation Satellite Systems) system installed on board a UAV (Unmanned Aerial Vehicle), employing three different types of GNSS Bases (Alloy, RS2 and RING) working in PPK mode. To evaluate the quality of the results, a set of seven GCPs (Ground Control Points) measured by means of the NRTK (Network Real Time Kinematic) technique was used. The outcomes show a RMSE (Root Mean Square Error) of 0.0189 m for an ALLOY Base, 0.0194 m for an RS2 Base and 0.0511 m for RING Base, respectively, on the vertical value of DEMs (Digital Elevation Models) obtained by a photogrammetric process. This indicates that, when changing the Base for the PPK, the solutions are different, but they can still be considered adequate for precision positioning with UAVs, especially when GCPs could be used with some difficulty. Therefore, the integration of a RTK/PPK GNSS module on a UAV allows the reconstruction of a highly detailed and precise DEM without using GCPs and provides the possibility to carry out surveys in inaccessible areas.

Entities:  

Keywords:  GNSS; Multi-Base GNSS; PPK; RTK; UAV; drone; photogrammetry; precision positioning; remote sensing

Year:  2021        PMID: 34199821     DOI: 10.3390/s21113882

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Investigation of Using Sky Openness Ratio as Predictor for Navigation Performance in Urban-like Environment to Support PBN in UTM.

Authors:  Chao Deng; Chung-Hung John Wang; Kin Huat Low
Journal:  Sensors (Basel)       Date:  2022-01-22       Impact factor: 3.576

2.  A Real-Time Zanthoxylum Target Detection Method for an Intelligent Picking Robot under a Complex Background, Based on an Improved YOLOv5s Architecture.

Authors:  Zhibo Xu; Xiaopeng Huang; Yuan Huang; Haobo Sun; Fangxin Wan
Journal:  Sensors (Basel)       Date:  2022-01-17       Impact factor: 3.576

  2 in total

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