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.
Authors
- Fernando Reyes‐Aviles (ORCID: https://orcid.org/0000-0002-4299-597X)
- Clemens Arth (ORCID: https://orcid.org/0000-0001-6949-4713)
- Thomas Gloor
Institutions
- VRVis GmbH (Austria) (AT)
- Graz University of Technology (AT)
- Hilti (Liechtenstein) (LI)
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
Funders
- Österreichische Forschungsförderungsgesellschaft