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The potential of full-waveform LiDAR in mobile mapping applications

100%

Toth C. K. , Zaletnyik P. , Laky S. , Grejner-Brzezińska D.

Archiwum Fotogrametrii, Kartografii i Teledetekcji

2011

tom Vol. 22

401--410

Full Waveform LiDAR data have been available for many years, yet applications just recently started discovering its potential in airborne topographic surveying. Forestry and earth sciences applications have been traditionally using waveform processing for many years, but topographic mapping has just started exploring the benefits of waveform. The potential advantages are improved point cloud generation, better object surface characterization, and support for object classification. However, there are several implementations and performance issues, such as the availability of waveform processing tools and waveform compression methods that should be addressed before applications can take full advantage of the availability of waveform data. The paper provides an overview of the waveform application potential in both airborne and mobile LiDAR mapping applications.

Application of predictive regional ionosphere model to medium range RTK positioning

100%

Wielgosz P. , Krankowski A. , Sieradzki R. , Grejner-Brzezińska D.

Acta Geophysica

2008

tom Vol. 56, no. 4

1147-1161

Real Time Kinematic (RTK) GPS positioning over longer distances requires a support of atmospheric (ionospheric and tropospheric) corrections, since the atmospheric errors decorrelate with the growing distances and cannot be completely eliminated by double differencing of the satellite observations. Currently, the most commonly used approach is to derive the atmospheric corrections at the reference station network and provide them in real time to the roving receiver. Another solution, proposed here, is to use predictive atmospheric models in order to derive the atmospheric corrections. This paper presents the test results of the performance assessment of the predictive ionosphere model (UWM-IPM) application to medium-range RTK positioning. The rover data collected within 25 to 67 km from the closest reference station were processed in the kinematic mode with the support of the ionospheric corrections derived from the UWM-IPM model. The RTK solution was derived in both single-and multi-baseline modes, and compared to the two reference solutions obtained without the ionospheric corrections. All numerical tests were carried out using the MPGPS software developed in cooperation with The Ohio State University; a recent extension to the software, developed at the University of Warmia and Mazury in Olsztyn, introduces the predictive ionosphere model to the RTK solution. The test results are very promising, and indicate that predicted ionosphere corrections can effectively support medium-range RTK positioning, and allow for fast ambiguity resolution over distances of several tens of kilometers under moderate ionospheric conditions.

Evaluating the performance of mems based inertial navigation sensors for land mobile applications

88%

Kealy A. , Retsche G. , Grejner-Brzezińska D. , Gikas V. , Roberts G.

Archiwum Fotogrametrii, Kartografii i Teledetekcji

2011

tom Vol. 22

237--248

In 2010 a collaborative working group was formed under the professional associations: International Association of Geodesy (IAG WG4.2.5) and International Federation of Surveys (FIG WG5.5). Entitled ubiquitous positioning, this working group aims to harness and develop existing research outputs available internationally in this research domain. Our goal over the next four years is to provide an online resource for academic and industry professionals, who can use these research outputs thereby reducing duplication and facilitating more rapid progress in the development of ubiquitous positioning systems. This paper presents a summary of the research activities and results of the working group to date. In particular, it presents the results of extensive testing to characterize the performance of a range of low-cost MEMS inertial sensors. The test scenarios, data acquisition software, processing tools and results obtained will be fully described and presented. The performance of these sensors in augmenting GNSS positioning is also presented using results obtained from a combination of loosely and tightly coupled Kalman filters. Finally, the future plans for the working group over the next four years and opportunities for wider collaboration will be discussed.