Evidence map›Paper›PMID 41829437›Full record

ArticleSensors (Basel, Switzerland)2026

Real-Time Pose Measurement Framework of Wind Tunnel Aircraft Models Based on a Monocular Time-of-Flight Camera.

Jianqiang Huang, Cui Liang, Shuai Zhao, Tengchao Huang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jianqiang HuangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Cui LiangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0003-1731-6522
Shuai ZhaoCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Tengchao HuangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

Funding

Key Research and Development Program of Jiaxing 2024BZ20017Pioneer and Leading Goose R&D Program of Zhejiang 2024C01131
6 · The paper itself

Abstract

Precise and real-time acquisition of aircraft model attitude is fundamental for aerodynamic analysis in wind tunnel experiments, yet achieving high-precision non-contact measurement remains a significant challenge. To address this, this paper proposes a pose measurement framework based on a monocular Time-of-Flight (ToF) camera that fuses keyframe global registration with non-keyframe local registration. First, a novel hand-crafted local feature based on three-plane encoded height and density is introduced. When combined with the Two-stage Consensus Filtering RANSAC (TCF-RANSAC) algorithm, this feature achieves robust global registration of keyframes, providing reliable initial pose estimates for the system. Subsequently, leveraging the continuity constraint of model motion, fast incremental local registration of non-keyframes is performed using the Generalized Iterative Closest Point (GICP) algorithm, which avoids falling into local optima while significantly improving computational efficiency. Evaluation results on simulated datasets with synthetic noise and a real experimental platform demonstrate that the method achieves a single-axis rotation angle error of less than 0.03∘ while processing at over 40 FPS, satisfying real-time measurement requirements. Comparative evaluations against multiple existing registration methods indicate that the proposed framework achieves superior accuracy and robustness, reducing rotation angle errors by 9% to 39% compared to mainstream global registration methods under single-view ToF sensing conditions. Furthermore, this study quantifies the error distribution characteristics of monocular ToF-based pose estimation, revealing an "axis-sensitivity" phenomenon where the rotation error around the optical axis is significantly lower (e.g., 0.02∘, 0.03∘) than that around the orthogonal axes (e.g., 0.38∘, 0.26∘). These findings provide practical guidance for camera placement and system design in high-precision aerodynamic measurement scenarios.

Indexed as

monocular 3D sensingnon-contact optical measurementpoint cloud registrationpose estimationtime-of-flight (ToF) camerawind tunnel testing

Identifiers

PMID41829437
PMCPMC12987164

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.