Evidence map›Paper›PMID 40968833›Full record

ReviewSensors (Basel, Switzerland)2025

An Approach to Modeling and Developing Virtual Sensors Used in the Simulation of Autonomous Vehicles.

István Barabás, Calin Iclodean, Horia Beles, Csaba Antonya, Andreia Molea, Florin Bogdan Scurt

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

István BarabásDepartment of Automotive Engineering and Transports, Technical University of Cluj-Napoca Romania, Muncii Bd. 103-105, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-2194-7036
Calin IclodeanDepartment of Automotive Engineering and Transports, Technical University of Cluj-Napoca Romania, Muncii Bd. 103-105, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-1347-2341
Horia BelesDepartment of Mechanical Engineering and Automotive, University of Oradea, Universitatii Str. 1, Oradea, 7, 410087 Oradea, Romania.ORCID 0000-0003-1236-8438
Csaba AntonyaDepartment of Automotive and Transport Engineering, Transilvania University of Brasov, Eroilor Bd. 29, 500036 Brasov, Romania.ORCID 0000-0002-0139-5425
Andreia MoleaDepartment of Automotive Engineering and Transports, Technical University of Cluj-Napoca Romania, Muncii Bd. 103-105, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-3848-2722
Florin Bogdan ScurtDepartment of Mechanical Engineering and Automotive, University of Oradea, Universitatii Str. 1, Oradea, 7, 410087 Oradea, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A virtual model enables the study of reality in a virtual environment using a theoretical model, which is a digital image of a real model. The complexity of the virtual model must correspond to the reality of the evaluated system, becoming as complex as necessary and nevertheless as simple as possible, allowing for computer simulation results to be validated by experimental measurements. The virtual model of the autonomous vehicle was created using the CarMaker software package version 12.0, which was developed by the IPG Automotive company and is extensively used in both the international academic community and the automotive industry. The virtual model simulates the real-time operation of a vehicle's elementary systems at the system level and provides an open platform for the development of virtual test scenarios in the application areas of autonomous vehicles, ADAS, Powertrain, and vehicle dynamics. This model included the following virtual sensors: slip angle sensor, inertial sensor, object sensor, free space sensor, traffic sign sensor, line sensor, road sensor, object-by-line sensor, camera sensor, global navigation sensor, radar sensor, lidar sensor, and ultrasonic sensor. Virtual sensors can be classified based on how they generate responses: sensors that operate on parameters derived from measurement characteristics, sensors that operate on developed modeling methods, and sensors that operate on applications.

Indexed as

autonomous drivingdeep learningHi-Fi sensorideal sensormachine learningRSI sensorvirtual sensorsvirtual vehicle model

Identifiers

PMID40968833
PMCPMC12158086

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.