Evaluation of the Dynamic Accuracy of a GPS Receiver

Chosa, Tadashi; Omine, Masaaki; Itani, Kenji; Ehsani, Reza

doi:10.1016/s1881-8366(11)80021-2

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…They could be traced back to the error behavior of the used receiver. The discrepancy between different errors depending on the rover's movement has been examined previously (e.g., [22,23]). A further possible source of error was the overall additional excitation of the tractor cabin during headland overlapping.…”

Section: Field Boundarymentioning

confidence: 99%

Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data

2019

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Easily available and detailed area-related information is very valuable for the optimization of crop production processes in terms of, e.g., documentation and invoicing or detection of inefficiencies. The present study dealt with the development of algorithms to gain sophisticated information about different area-related parameters in a preferably automated way. Rear hitch position and wheel-based machine speed were recorded from ISO 11783 communication data during plowing with a mounted reversible moldboard plow. The data were georeferenced using the position information from a low-cost differential global navigation satellite system (D-GNSS) receiver. After the exclusion of non-work sequences from continuous data logs, single cultivated tracks were reconstructed, which represented as a whole the cultivated area of a field. Based on that, the boundary of the field and the included area were automatically detected with a slight overestimation of 1.4%. Different field parts were distinguished and single overlaps between the cultivated tracks were detected, which allowed a distinct assessment of the lateral and headland overlapping (2.05% and 3.96%, respectively). Incomplete information about the work state of the implement was identified as the main challenge to get precise results. With a few adaptions, the used methodology could be transferred to a wide range of mounted implements.

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Section: Field Boundarymentioning

confidence: 99%

Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data

2019

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“…Furthermore, differential correction of GPS data (DGPS) also contains errors with accuracy degrading at an approximate rate of 1 m for each 150 km distance the GPS unit is from the reference station [114]. Not only do methods for correcting GNSS data differ [115] but static and dynamic accuracies differ [116,117].…”

Section: Accuracy or Precisionmentioning

confidence: 99%

“…The GNSS devices used in the studies listed in Table 2 usually either restated accuracy provided by the manufacturer (most likely a static accuracy) or restated accuracy cited in previous research using the same model GNSS device. Only a few researchers have attempted to determine GNSS accuracy of their devices [118,122,126] and it was static accuracy they evaluated and unfortunately static and dynamic accuracy are different [117]. Furthermore, most commercial suppliers provide only static accuracy values [127].…”

Section: Accuracy or Precisionmentioning

confidence: 99%

“…Furthermore, stationary collars may be as much as 33% more successful at acquiring fixes than when deployed on animals [134]. Though literature exists that describes how dynamic testing of GNSS devices can be accomplished [116,117], the testing of GNSS devices to be deployed on cattle using this equipment will probably not be possible for most ethologists. This quandary may have a relatively simple solution.…”

Section: Statisticsmentioning

confidence: 99%

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Spatiotemporal Cattle Data—A Plea for Protocol Standardization

Anderson¹,

Estell²,

Cibils³

2013

POS

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It was not until the end of the 1990's that animal born satellite receivers catapulted range cattle ecology into the 21st century world of microchip technology with all of its opportunities and challenges. With the global navigation satellite system (GNSS), insight about how cattle use a landscape is being revealed from previously unknown temporal and spatial behaviors. The most common system to date for studying ungulate movement is the global positioning system (GPS). With its use has come a clarity and completeness in documenting spatial and temporal data in new and exciting ways that offer almost unlimited possibilities to better understand and manage economic and societal returns from animal dominated landscapes. However, its use on free-ranging cattle is not without challenges, some of which are yet to be optimally solved. To maximize the usefulness of GNSS data, consideration must be given to: 1) developing a standardized protocol for reporting and analyzing research that facilitates interpretation of results across different ecosystems; 2) develop optimum ranges over which to collect satellite fixes depending upon the particular behaviors of interest; and 3) concurrently develop electronic hardware and equipment platforms that are easily deployed on animals and that are light, robust, and can be worn by cattle for extended periods of time without human intervention (e.g., changing batteries). Once data are collected, appropriate geographic information system (GIS) based models should be used to produce a series of products that can be used to implement flexible management strategies, some of which may support methodologies that are yet to be commercialized and adopted into future plant-animal interface management routines.

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“…A localização em ambientes externos, possui uma tecnologia bem difundida e padrão chamada Sistema de Posicionamento Global (GPS) [18] cujo funcionamento é baseado na utilização de satélites, desta forma oferece cobertura em todo o globo terrestre. No entanto quando se trata de ambientes internos, o mesmo não possui um funcionamento preciso pois as ondas rádio emitidas pelos satélites não conseguem penetrar pelas paredes dos ambientes, não permitindo assim a determinação do posicionamento de maneira eficaz, tipicamente em uma ordem superior a 10m [19] [20]. A principal diferença entre a localização interna e externa está na possiblidade da localização externa poder possuir uma maior taxa de "erro"da acurácia de forma que a localização continue sendo precisa [2].…”

Section: Introductionunclassified

IndoLoR -- Uma Plataforma Adaptável para Localização em Ambientes Internos

Melo

Aquino

2018

RITA

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Resumo: Location systems have become increasingly part of people's lives. For outdoor environments, GPS appears as standard technology, widely disseminated and used. However, people usually spend most of their daily time in indoor environments, such as: hospitals, universities, factories, buildings, etc. In these environments, GPS does not work properly causing an inaccurate positioning. Currently, to perform the location of people or objects in indoor environments no single technology could reproduce for indoors the same result achieved by GPS for outdoors environments. Due to this, it is necessary to consider use of information from multiple sources using different technologies. Thus, this work aims to build an Adaptable Platform for Indoor location. Based on this goal, the IndoLoR platform is proposed. This platform aims to allow information reception from different sources, data processing, data fusion, data storage and data retrieval for the indoor location context. The proposed platform is evaluated through a case study examining aspects related to easiness of adaptation and performance.

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Evaluation of the Dynamic Accuracy of a GPS Receiver

Cited by 6 publications

References 4 publications

Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data

Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data

Spatiotemporal Cattle Data—A Plea for Protocol Standardization

IndoLoR -- Uma Plataforma Adaptável para Localização em Ambientes Internos

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