Low-Cost Collaborative Positioning for Autonomous Agents Using Carrier Phase DGNSS

This paper presents a DGNSS-based collaborative positioning approach for multiple agents where one of the agents is equipped with highly precise GNSS equipment and the other agents are equipped with low-cost sensors. Sensors for low-cost navigation modules were selected and a panel of circuit boards was designed. To evaluate the proposed approach, the designed low-cost navigation modules and a high-end receiver were set up on geodetic pillars with precisely known coordinates. Carrier phase DGNSS was used to compute the baselines between the receivers. By comparing the estimated baselines to the true baselines, the horizontal and vertical positioning errors were analysed. The results show that when the ambiguities are successfully fixed, sub-dm accuracy can be achieved even for the low-cost boards. Moreover, it was investigated whether barometric height differences could be used to improve the height estimation. However, the results showed that the barometric height differences between agents are not accurate enough to support an already cm-accurate height estimation, even after calibration. When all GNSS baselines are jointly used to estimate the positions of the receivers, mean horizontal errors of less than 3 cm and mean vertical errors of less than 10 cm can be achieved.

Authors

Publication Details

Journal
Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Published
2024-10-09
DOI
https://doi.org/10.33012/2024.19920
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-Cost Collaborative Positioning for Autonomous Agents Using Carrier Phase DGNSS

Christoph Schmied, Fabian Theurl, Eva Buchmayer
1 citations
Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Indoor and Outdoor Localization Technologies
0.21
article

Low-Cost Collaborative Positioning for Autonomous Agents Using Carrier Phase DGNSS

Christoph Schmied, Fabian Theurl, Eva Buchmayer
article en
1 citations

Abstract

This paper presents a DGNSS-based collaborative positioning approach for multiple agents where one of the agents is equipped with highly precise GNSS equipment and the other agents are equipped with low-cost sensors. Sensors for low-cost navigation modules were selected and a panel of circuit boards was designed. To evaluate the proposed approach, the designed low-cost navigation modules and a high-end receiver were set up on geodetic pillars with precisely known coordinates. Carrier phase DGNSS was used to compute the baselines between the receivers. By comparing the estimated baselines to the true baselines, the horizontal and vertical positioning errors were analysed. The results show that when the ambiguities are successfully fixed, sub-dm accuracy can be achieved even for the low-cost boards. Moreover, it was investigated whether barometric height differences could be used to improve the height estimation. However, the results showed that the barometric height differences between agents are not accurate enough to support an already cm-accurate height estimation, even after calibration. When all GNSS baselines are jointly used to estimate the positions of the receivers, mean horizontal errors of less than 3 cm and mean vertical errors of less than 10 cm can be achieved.

Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
Openalex Percentile: Top 47%
Indoor and Outdoor Localization Technologies
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.