Surveying Instrument Localization Using VSLAM and 3D Matching

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing surveying instruments face challenges in achieving accurate and reliable localization, particularly in automated systems, due to issues like drift and ambiguity, especially when used in environments with changing conditions or when GNSS accuracy is limited.

Innovation Solution

A method utilizing visual simultaneous location and mapping (VSLAM) algorithms with a movable surveying instrument to derive a sparse evolving point cloud, matched with a previously captured 3D geometry, minimizing distance functions to correct for drift and ensure accurate localization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If visual inertial SLAM systems are used for automated localization, then automation is improved, but reliability deteriorates due to drift and instability

Engineering Contradiction:
Improveautomated localizationVSAvoidlocalization stability
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The system continuously compares the evolving sparse point cloud with the pre-captured 3D geometry model, using the comparison results to correct localization drift in real-time. This feedback mechanism maintains reliability by constantly validating and adjusting the automated localization against a trusted reference model.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

A complete 3D geometry model of the environment is captured and stored before the surveying instrument begins movement. This preliminary action creates a reliable reference framework that the instrument can continuously compare against during operation, ensuring stability without requiring continuous manual intervention.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If the surveying instrument moves along random trajectories with pauses, then productivity is improved, but localization accuracy deteriorates due to ambiguity and drift

Engineering Contradiction:
Improvemeasurement efficiencyVSAvoidlocalization accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The localization system operates continuously throughout the entire measurement process, constantly updating the sparse point cloud and comparing it with the reference 3D geometry. This continuous operation maintains accurate localization even during instrument movement and pauses, eliminating drift accumulation.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The reference 3D geometry model is captured in advance, creating a stable coordinate framework before any measurement activities begin. This preliminary mapping enables the instrument to maintain accurate localization throughout random movements and pauses by continuously referencing this pre-established model.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If manual localization methods are used, then reliability is improved, but ease of operation deteriorates due to tedious setup workflows

Engineering Contradiction:
Improvelocalization accuracyVSAvoidsetup complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system performs automated localization independently throughout the measurement process. The surveying instrument automatically captures images, updates the sparse point cloud, compares it with the reference 3D geometry, and corrects its own localization without requiring manual prism pole measurements or operator intervention for localization maintenance.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The manual mechanical localization process using prism poles and reference points is replaced with an automated optical and computational system. The instrument uses its own camera to capture environmental images and computational algorithms to maintain localization, eliminating the need for manual mechanical measurement procedures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Ease of operation

If GNSS is used for localization, then ease of operation is improved, but measurement precision deteriorates due to limited accuracy

Engineering Contradiction:
Improvelocalization simplicityVSAvoidlocalization accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The GNSS satellite-based localization system is replaced with a local visual-inertial SLAM system that uses the instrument's own camera and onboard sensors. This substitution provides both the ease of automated operation and the high precision required for surveying applications by creating a local reference frame independent of satellite signals.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12462424B2Localization of a surveying instrument
Publication Date: 2025.11.04 LEICA GEOSYSTEMS AG
  • US12462424B2 patent drawing
  • US12462424B2 patent drawing
  • US12462424B2 patent drawing

AI summary

A method for surveying an environment by a movable surveying instrument with a progressional capturing of 2D-images by at least one camera and applying a visual simultaneous location and mapping algorithm (VSLAM) or a visual inertial simultaneous location and mapping algorithm (VISLAM) with a progressional deriving of a sparse evolving point cloud of at least part of the environment, and a progressional deriving of a trajectory of movement. The method comprises a progressional matching of the sparse evolving point cloud with a previously derived 3D-geometry, with a minimizing of a function configured to model a distance between the sparse point cloud and the previously derived 3D-geometry and deriving a spatial localization and orientation of the surveying instrument. At least one surveying measurement value of the environment by a spatial measurement unit is combined with the sparse point cloud or the previously derived 3D-geometry.