On the Use of an Ultra-Tight Integration for Robust Navigation in Jammed Scenarios

Cristodaro, Calogero; Falco, Gianluca; Ruotsalainen, Laura; Dovis, Fabio

doi:10.33012/2019.16965

Cited by 3 publications

(2 citation statements)

References 15 publications

(20 reference statements)

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“…As widely known, Geomatics is the discipline that deals with survey, monitoring, and analysis of the natural and built environments from the metric and thematic points of view. Geomatics aims to provide a correct knowledge of the territory and environment; therefore, it is required in many circumstances: various surveying techniques and methodologies can be applied for detailed surveying of the position of objects, like technological networks or vehicles (Marzocchi et al 2017;Cristodaro et al 2019;Gonzalez and Dabove 2019;Leppälä et al 2019); for the production of cartography of territorially extended areas; for the monitoring of structures, infrastructures, and/or the natural environment (Bovolenta et al 2017;Minghini et al 2017;Gagliolo et al 2018;Themistocleus and Danezis 2018;Gagliolo et al 2019;Gobbi et al 2019;Barrile et al 2020;Campos et al 2021;Ferrando et al 2021;Vaccaro et al 2021); but also for innovative applications (Ferrando et al 2018;Dabove et al 2019;Piazza et al 2019;Di Pietra et al 2020;Rossi et al 2020;Benvenuto et al 2021). The instruments vary from traditional topographic methodologies to GNSS (Global Navigation Satellite System) positioning and from photogrammetry, also using UAV (unmanned aerial vehicle), to laser scanner technology.…”

Section: Introductionmentioning

confidence: 99%

Innovations in geomatics teaching during the COVID-19 emergency

et al. 2022

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The approach in the teaching process is changing, thanks to the increased awareness that a higher students’ involvement leads to a better quality of their learning. The aim is to make the students more participative, avoiding a unidirectional lesson and encouraging their wish to keep updated on the course advancements. However, innovative teaching methodologies are not yet widespread, mainly in STEM (Science, Technology, Engineering, and Mathematics) disciplines. At the University of Genoa, the experimentation of innovative teaching techniques has been significant and worthy especially because it was planned before the COVID-19 emergency and applied in the scenario of forced remote teaching. Thanks to the introduction of novel technological instruments, several techniques have been exploited to realize interactive lessons and promoting students’ involvement. The present work discloses the employed techniques and frames them within the state of the art of innovative teaching, highlighting their contribution in the teaching activities related to the Geomatics field of knowledge. The acquired experiences in Geomatics dissemination and a critical analysis, including teachers’ and students’ perception about the tested innovative teaching/learning tools, are also reported. In general, the innovations introduced in teaching and learning processes during the COVID-19 sanitary emergency were warmly received by the entire community, including teachers, students, and teaching assistants.

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Section: Introductionmentioning

confidence: 99%

Innovations in geomatics teaching during the COVID-19 emergency

et al. 2022

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“…Thus, no information exchange happens between the different tracking channels in this mechanism. Vector-based tracking, on the other hand, feeds back [7][8][9] any available information about receiver position, velocity, and acceleration to the tracking stage. In this way, information exchange between the different channels is possible, allowing improved performance in conditions where there is low signal power or poor satellite availability.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Ultra-Tight GPS/RISS Integrated System for Challenging Navigation Environments

2020

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The Global Positioning System (GPS) provides an accurate navigation solution in the open sky. However, in some environments such as urban areas or in the presence of signal jamming, GPS signals cannot be easily tracked since they could be harshly attenuated or entirely blocked. This often requires the GPS receiver to go into a signal re-acquisition phase for the corresponding satellite. To avoid the intensive computations necessary for the signal re-lock in a GPS receiver, a robust signal-tracking mechanism that can hold and/or rapidly re-lock on the signals and keep track of their dynamics becomes a necessity. This paper augments a vector-based GPS signal tracking system with a Reduced Inertial Sensor System (RISS) to produce a new ultra-tight GPS/INS integrated system that enhances receivers’ tracking robustness and sensitivity in challenging navigation environments. The introduced system is simple, efficient, reliable, yet inexpensive. To challenge the proposed method with real jamming conditions, real experiment work was conducted inside the Anechoic Chamber room at the Royal Military College of Canada (RMC). The Spirent GSS6700 signal simulator was used to generate GPS signals, and an INS Simulator is used for simulating the inertial measurement unit (IMU) to generate the corresponding trajectory raw data. The NEAT jammer, by NovAtel, was used to generate real jamming signals. Results show a good performance of the proposed method under real signal jamming conditions.

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Reducing GPS Impreciseness by Odometer Sensor Reading to Improve Positioning Accuracy

BAKIRCI

2021

International Journal of Automotive Science and Technology

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Positioning accuracy is becoming more and more important as autonomous vehi-cle technology develops. The focus of this paper is on an onboard smart mobile de-vice’s feature to improve positioning accuracy, based on experimentally acquired GPS and odometer sensor data. A simplificative odometer reading based approach is applied instead of using more advanced smart device sensors (e.g., accelerometer, gy-roscope). Numerous driving tests were performed and analyzed to collect sufficient dynamic travel data. Traveled distances between two consecutive positions from GPS data are computed and correlated with a vehicle’s speed profile between the same two positions. To calculate distance more precisely speed values from GPS are corrected with odometer sensor reading. The results revealed an average increase in accuracy of 20%. The developed model can be incorporated with a smart device’s other low-energy sensors. Using the smart device sensors, the developed model can be extended to acquire a more accurate positioning.

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On the Use of an Ultra-Tight Integration for Robust Navigation in Jammed Scenarios

Cited by 3 publications

References 15 publications

Innovations in geomatics teaching during the COVID-19 emergency

Innovations in geomatics teaching during the COVID-19 emergency

An Efficient Ultra-Tight GPS/RISS Integrated System for Challenging Navigation Environments

Reducing GPS Impreciseness by Odometer Sensor Reading to Improve Positioning Accuracy

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