Evidence map›Paper›PMID 33809639›Full record

ArticleSensors (Basel, Switzerland)2021

Design, Implementation, and Configuration of Laser Systems for Vehicle Detection and Classification in Real Time.

Nieves Gallego Ripoll, Luís Enrique Gómez Aguilera, Ferran Mocholí Belenguer, Antonio Mocholí Salcedo, Francisco José Ballester Merelo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Nieves Gallego RipollDepartment of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain.
Luís Enrique Gómez AguileraDepartment of Electronic Engineering, Universidad Politécnica de Chiapas, 29082 Tuxtla Gutiérrez, Mexico.
Ferran Mocholí BelenguerTraffic Control Systems Group, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-6567-9817
Antonio Mocholí SalcedoDepartment of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-5703-1156
Francisco José Ballester MereloDepartment of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-2464-5116
Universitat Politècnica de València · ESUniversidad Politécnica de Chiapas · MX

Funding

Universitat Politècnica de València Equipos de Detección, Regulación e Información en el sector de los Sistemas Inteligentes de Transporte (ITS). Nuevos Modelos y Ensayos de Compatibilidad y Verificación de Funcionamiento (20170764)
6 · The paper itself

Abstract

The use of real-time vehicle detection and classification systems is essential for the accurate management of traffic and road infrastructure. Over time, diverse systems have been proposed for it, such as the widely known magnetic loops or microwave radars. However, these types of sensors do not offer all the information currently required for exhaustive and comprehensive traffic control. Thus, this paper presents the design, implementation, and configuration of laser systems to obtain 3D profiles of vehicles, which collect more precise information about the state of the roads. Nevertheless, to obtain reliable information on vehicle traffic by means of these systems, it is fundamental to correctly carry out a series of preliminary steps: choose the most suitable type of laser, select its configuration properly, determine the optimal location, and process the information provided accurately. Therefore, this paper details a series of criteria to help make these crucial and difficult decisions. Furthermore, following these guidelines, a complete laser system implemented for vehicle detection and classification is presented as result, which is characterized by its versatility and the ability to control up to four lanes in real time.

Indexed as

classificationdetectionelectronicsintelligent transportation systemslaserroad safetyscannervehicles

Identifiers

PMID33809639
PMCPMC8001347
OpenAlexW3138823495

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.