Evidence map›Paper›PMID 40292780›Full record

ArticleSensors (Basel, Switzerland)2025

Reference Platform for ADAS Camera System Evaluation.

András Rövid, Zsolt Vincze, Tamás Pálinkás, Mihály Kocsis, Viktor Serrano, Zsolt Szalay

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

András RövidDepartment of Automotive Technologies, Budapest University of Technology and Economics, Stoczek Str. 6, 1111 Budapest, Hungary.ORCID 0000-0002-9044-1760
Zsolt VinczeDepartment of Automotive Technologies, Budapest University of Technology and Economics, Stoczek Str. 6, 1111 Budapest, Hungary.ORCID 0000-0002-5813-3530
Tamás PálinkásRobert Bosch Kft., Gyömrői Str. 104, 1103 Budapest, Hungary.
Mihály KocsisRobert Bosch Kft., Gyömrői Str. 104, 1103 Budapest, Hungary.
Viktor SerranoRobert Bosch Kft., Gyömrői Str. 104, 1103 Budapest, Hungary.
Zsolt SzalayDepartment of Automotive Technologies, Budapest University of Technology and Economics, Stoczek Str. 6, 1111 Budapest, Hungary.ORCID 0000-0002-6172-5772

Funding

Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund 2019-1.1.1-PIACI-KFI-2019-00129
6 · The paper itself

Abstract

Advanced driving assistance systems (ADASs) are critical for automotive safety. They rely on various sensors (especially with an increasing reliance on visual sensors to meet evolving safety standards) to capture relevant environmental data. The validation of ADAS systems is crucial to ensure their reliability and performance in real-world driving scenarios; however, this requires reference data. This paper focuses on the development of a reference sensor system that can provide reference data and does support the validation of visual sensors for ADAS systems. The system is validated in various relevant scenarios at an automotive proving ground.

Indexed as

ADASautomotive safetycamera-based systemsobject detectionreference measurementsensor validation

Identifiers

PMID40292780
PMCPMC11945887

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Registered trials

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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.