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A Focal Length Calibration Method for Vision Measurement Systems Based on Multi-Feature Composite Variable Weighting.

Sensors (Basel, Switzerland)·2025

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Updated: May 28, 2026

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

A Proof-of-Concept Free-Flight Photogrammetric Framework Based on Monocular Vision and Sensor-Group Displacement

Enshun Lu¹, Xin Wan¹, Wupeng Deng²

¹School of Agricultural Machinery Engineering Research and Design Institute, Hubei University of Technology, Wuhan 430068, China.

Sensors (Basel, Switzerland)

|May 27, 2026

Summary

This study introduces a novel free-flight photogrammetry framework using monocular vision and sensor displacement, eliminating the need for ground control points. This method enables accurate 3D positioning and measurement in challenging environments.

Keywords:

composite weighting free-flight photogrammetry information fusion rigid point set resection sensor group

Related Experiment Videos

Last Updated: May 28, 2026

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

Area of Science:

* Photogrammetry and Computer Vision
* Robotics and Autonomous Systems
* Geomatics Engineering

Background:

* Traditional photogrammetry heavily relies on ground control points (GCPs), limiting its application in complex terrains and confined spaces.
* Unmanned aerial vehicles (UAVs) are increasingly used as aerial imaging platforms, but GCP dependency remains a significant constraint.

Purpose of the Study:

* To propose and validate a proof-of-concept framework for control-point-free aerial photogrammetry.
* To enable accurate exterior orientation computation and 3D target measurement using fused monocular vision and sensor displacement data.

Main Methods:

* Development of a free-flight photogrammetry framework integrating monocular vision and sensor-group displacement information.
* Implementation of a rigid point set station-displacement algorithm for multi-station pose propagation without GCPs.
* Application of a composite weighting strategy accounting for optical distortion and rigid-body consistency.

Main Results:

* Numerical simulations demonstrated the feasibility of exterior orientation computation and target-point reconstruction under various conditions.
* Bench-top experiments achieved a mean 3D positioning error of 15.450 mm and maximum error of 36.685 mm.
* Mean absolute distance errors between stations were 9.230 mm (Station 1-2) and 12.436 mm (Station 1-3).

Conclusions:

* The proposed method successfully demonstrated control-point-free exterior orientation computation and 3D target measurement in a controlled environment.
* The framework offers a viable alternative for photogrammetry in scenarios where GCP deployment is impractical.
* Further validation on actual UAV platforms under real flight conditions is necessary to confirm real-world applicability.