Automatic Model-Based Stationing: Robust Total Station Localization Without Known Control Points

Abstract Model-based stationing refers to the process of registering a set of measurements to a model. Specifically, in the surveying context, this refers to the process of determining the station, i.e. , the position and orientation, of a total station given a user-provided building floor plan and a series of polar measurements. Traditional methods compute the station using a set of known control points. We propose an automatic workflow which uses a novel registration method that does not require any known control points in order to find the station with high accuracy. Our registration algorithm relies on angle and distance measurements only; therefore, it is not limited to modern image-assisted total stations. In addition, the proposed workflow comprises a modeling phase to deal with model inaccuracies and produces reliable and accurate results. Quantitative and qualitative tests on synthetic and real-world scenarios demonstrate the performance and robustness of our automatic workflow and registration method.

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Publication Details

Journal
Journal of Intelligent & Robotic Systems
Published
2025-03-01
DOI
https://doi.org/10.1007/s10846-025-02224-5
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00

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article

Automatic Model-Based Stationing: Robust Total Station Localization Without Known Control Points

Fernando Reyes‐Aviles, Clemens Arth, Thomas Gloor
Journal of Intelligent & Robotic Systems
Robotics and Sensor-Based Localization
article

Automatic Model-Based Stationing: Robust Total Station Localization Without Known Control Points

Fernando Reyes‐Aviles, Clemens Arth, Thomas Gloor
article en

Abstract

Abstract Model-based stationing refers to the process of registering a set of measurements to a model. Specifically, in the surveying context, this refers to the process of determining the station, i.e. , the position and orientation, of a total station given a user-provided building floor plan and a series of polar measurements. Traditional methods compute the station using a set of known control points. We propose an automatic workflow which uses a novel registration method that does not require any known control points in order to find the station with high accuracy. Our registration algorithm relies on angle and distance measurements only; therefore, it is not limited to modern image-assisted total stations. In addition, the proposed workflow comprises a modeling phase to deal with model inaccuracies and produces reliable and accurate results. Quantitative and qualitative tests on synthetic and real-world scenarios demonstrate the performance and robustness of our automatic workflow and registration method.

Journal of Intelligent & Robotic SystemsVol. 111(1)
VRVis GmbH (Austria) (AT), Graz University of Technology (AT), Hilti (Liechtenstein) (LI)
Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 95%
Robotics and Sensor-Based Localization
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Automatic Model-Based Stationing: Robust Total Station Localization Without Known Control Points — Fernando Reyes‐Aviles, Clemens Arth, et al. · Journal of Intelligent & Robotic Systems (2025) | TGRS Research Map | TGRS