One of the main tasks of a cadastral surveyor is to accurately determine property boundaries by measuring control points and calculating their coordinates. This paper proposes the development of a remotely-controlled tracking system to perform cadastral measurements. A Bluetooth-controlled rover was developed, including a Raspberry Pi Zero W module that acquires position data from a VBOX 3iSR Global Navigation Satellite System (GNSS) receiver, equipped with a specific modem to download Real-Time Kinematic (RTK) corrections from the Internet. Besides, the Raspberry board measures the rover speed with a Hall sensor mounted on a track, adjusting the acquisition rate to collect data at a fixed distance. Position and inertial data are shared with a cloud platform, enabling their remote monitoring and storing. Besides, the power supply section was designed to power the different components included in the acquisition section, ensuring 2 hours of energy autonomy. Finally, a mobile application was developed to drive the rover and real-time monitor the travelled path. The tests indicated a good agreement between rover measurements and those obtained by a Trimble R10 GNSS receiver (+0.25% mean error) and proved the superiority of the presented system over a traditional metric wheel.

A remote-controlled Global-Navigation-Satellite-System based rover for accurate video-assisted cadastral surveys

Paolo Visconti
Writing – Review & Editing
;
De Fazio Roberto
Writing – Original Draft Preparation
2022-01-01

Abstract

One of the main tasks of a cadastral surveyor is to accurately determine property boundaries by measuring control points and calculating their coordinates. This paper proposes the development of a remotely-controlled tracking system to perform cadastral measurements. A Bluetooth-controlled rover was developed, including a Raspberry Pi Zero W module that acquires position data from a VBOX 3iSR Global Navigation Satellite System (GNSS) receiver, equipped with a specific modem to download Real-Time Kinematic (RTK) corrections from the Internet. Besides, the Raspberry board measures the rover speed with a Hall sensor mounted on a track, adjusting the acquisition rate to collect data at a fixed distance. Position and inertial data are shared with a cloud platform, enabling their remote monitoring and storing. Besides, the power supply section was designed to power the different components included in the acquisition section, ensuring 2 hours of energy autonomy. Finally, a mobile application was developed to drive the rover and real-time monitor the travelled path. The tests indicated a good agreement between rover measurements and those obtained by a Trimble R10 GNSS receiver (+0.25% mean error) and proved the superiority of the presented system over a traditional metric wheel.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/462044
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