China
Africa
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Applications of GNSS
Published in Basudeb Bhatta, Global Navigation Satellite Systems, 2021
GNSS can aid in soil sampling, mapping and preparing a land information system (LIS), and mobile mapping (Shanwad et al. 2002). Mobile mapping is the ability to collect field data, with unique geospatial location, time tags, and attributes, for integrating into or updating a GIS or LIS. Mobile mapping provides the freedom to collect data anytime, anywhere, in any manner. Mobile mapping is essentially useless without the GNSS component. The GNSS component not only provides the location for all data collected but also provides the time in which it was collected. GNSS also enables the user to navigate back to any particular location anytime thereafter. Once the field data has been collected using mobile mapping, the data can be downloaded into a desktop GIS. The GIS then provides the producer the ability to consider all the options for production. The producer can then use the positional data and the decisions that were made with the GIS to carry out the mechanised part of precision agriculture.
UAV Image Acquisition Using Structure from Motion to Visualise a Coastal Dune System
Published in David R. Green, Billy J. Gregory, Alex R. Karachok, Unmanned Aerial Remote Sensing, 2020
This project uses a mobile mapping application to help with the initial survey process. ViewRanger™ (VR), created by Augmentra Ltd© (version at time of survey 8.5.46 [3]), is a mobile smart phone application that is designed to help plan routes, navigate safely, and share your walks with other users. The application does not rely on mobile network connectivity (mobile data) to function, rather relying solely on the GPS aspect which allows for use anywhere in the world. VR is primarily used by hillwalkers and lets GPS data (waypoints or POIs) to be collected, stored, and then exported as a GPX file. The VR application has the option to upload or recover pre-collected data, allowing the user to follow pre-determined or past routes. One of the many features of the VR application is that it allows images to be recorded and stored as part of the POI which is useful if time has elapsed between initial survey and post-survey analysis. This application is ideally suited for the purposes of this project, as uploaded GCP positions can be easily located by following the pre-programmed route. VR was used on a Samsung Galaxy SM-G930F android smart phone for two surveys, initially on the familiarisation walk to record POI features and, secondly, to follow and find pre-defined GCP locations. Two smaller sites have been identified to conduct ground truths, one in the south which is mainly untouched by geomorphological processes and made up of mainly mature dunes, slacks, and a small area of beach. The site to the north has been identified as an area where significant erosion and accretion has taken place and is mostly an area of beach, mobile dunes, and dune ridges.
Automobile indexation from 3D point clouds of urban scenarios
Published in Automatika, 2021
Ramirez-Pedraza Alfonso, González-Barbosa José-Joel, Ramirez-Pedraza Raymundo, González-Barbosa Erick-Alejandro, Hurtado-Ramos Juan-Bautista
Object recognition from point clouds is a challenging computer vision problem due to noise, sparse data, and scenarios' wide variability. Moreover, data acquired by the LiDAR Velodyne 64E sensors contains partially scanned objects, making the problem more interesting, and a common practice is to register multiple point clouds [1]. This paper proposes a method for the segmentation and recognition of automobiles in LiDAR generated point clouds. Figure 1(a) shows our acquisition platform capable of performing a mobile mapping from static or dynamically. Platform consist of three data sources: a LiDAR, a panoramic camera, and a Global Positioning System (GPS). Mobile mapping refers to the collection of data from multiple geo-referenced sources. Applications are numerous, such as cartography, archaeology, geography, geomorphology, seismology, and atmospheric physics.
Active use of panoramic mobile mapping systems for as built surveying and heritage documentation
Published in International Journal of Architectural Heritage, 2019
Bashar Alsadik, Luma Khalid Jasim
Mobile mapping is the process of collecting geospatial data from a mobile vehicle (Tao and Jonathan 2007). These data are typically collected by imaging systems or laser scanning (LiDAR) or a combination of both systems (Figure 1).