Evidence map›Paper›PMID 42817438›Full record

ArticleSensors (Basel, Switzerland)2026

Vehicle Pose Measurement with a Single Image via the Double-Dual-Ellipse Feature of Wheel Rims.

Guan Xu, Rui Wang, Huiying Lin

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

3 authors.

Guan XuDepartment of Vehicle Operation Engineering, Transportation College, Nanling Campus, Jilin University, Changchun 130025, China.
Rui WangDepartment of Vehicle Operation Engineering, Transportation College, Nanling Campus, Jilin University, Changchun 130025, China.
Huiying LinDepartment of Vehicle Operation Engineering, Transportation College, Nanling Campus, Jilin University, Changchun 130025, China.

Funding

National Natural Science Foundation of China 52275534
6 · The paper itself

Abstract

The precise measurement of the vehicle pose is a key technology for achieving the intelligent inspection and understanding of vehicle behavior. This paper presents a vehicle pose measurement method utilizing a line-space dual-ellipse representation of wheel rims. First, a dual quadratic curve formulation is established to model wheel-rim projection ellipses, where the common tangent extraction is transformed into a generalized eigenvalue problem, enabling analytical vehicle rotation recovery from a single image. Second, a metric vehicle translation recovery scheme is developed by integrating the vehicle's longitudinal wheelbase constraint. The research conducts comprehensive and systematic experimental verification, including simulation, comparative analysis, vehicle test, and the physical benchmark experiment. The experimental results demonstrate that the proposed method achieves high measurement accuracy and reliability, providing a solution for vehicle pose measurement in practical intelligent vehicle inspection.

Indexed as

double-dual-ellipse featuresingle-imagevehicle geometryvehicle pose measurementverification

Identifiers

PMID42817438
PMCPMC13611815

What OpenQuestion holds

Textmetadata
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.