{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T09:04:10Z","timestamp":1770282250859,"version":"3.49.0"},"reference-count":58,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T00:00:00Z","timestamp":1693440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In recent years, the application of artificial intelligence (AI) in the automotive industry has led to the development of intelligent systems focused on road safety, aiming to improve protection for drivers and pedestrians worldwide to reduce the number of accidents yearly. One of the most critical functions of these systems is pedestrian detection, as it is crucial for the safety of everyone involved in road traffic. However, pedestrian detection goes beyond the front of the vehicle; it is also essential to consider the vehicle\u2019s rear since pedestrian collisions occur when the car is in reverse drive. To contribute to the solution of this problem, this research proposes a model based on convolutional neural networks (CNN) using a proposed one-dimensional architecture and the Inception V3 architecture to fuse the information from the backup camera and the distance measured by the ultrasonic sensors, to detect pedestrians when the vehicle is reversing. In addition, specific data collection was performed to build a database for the research. The proposed model showed outstanding results with 99.85% accuracy and 99.86% correct classification performance, demonstrating that it is possible to achieve the goal of pedestrian detection using CNN by fusing two types of data.<\/jats:p>","DOI":"10.3390\/s23177559","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T11:45:51Z","timestamp":1693482351000},"page":"7559","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5406-1656","authenticated-orcid":false,"given":"Luis C.","family":"Reveles-G\u00f3mez","sequence":"first","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5714-7482","authenticated-orcid":false,"given":"Huizilopoztli","family":"Luna-Garc\u00eda","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6847-3777","authenticated-orcid":false,"given":"Jos\u00e9 M.","family":"Celaya-Padilla","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5840-7407","authenticated-orcid":false,"given":"Cristian","family":"Barr\u00eda-Huidobro","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n en Ciberseguridad, Universidad Mayor de Chile, Manuel Montt 367, Providencia 7500628, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9498-6602","authenticated-orcid":false,"given":"Hamurabi","family":"Gamboa-Rosales","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6629-1048","authenticated-orcid":false,"given":"Roberto","family":"Sol\u00eds-Robles","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7240-8158","authenticated-orcid":false,"given":"Jos\u00e9 G.","family":"Arceo-Olague","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7555-5655","authenticated-orcid":false,"given":"Jorge I.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-4687","authenticated-orcid":false,"given":"Carlos E.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3506-5309","authenticated-orcid":false,"given":"David","family":"Rondon","sequence":"additional","affiliation":[{"name":"Departamento Estudios Generales, Universidad Continental, Arequipa 04001, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8621-7942","authenticated-orcid":false,"given":"Klinge O.","family":"Villalba-Condori","sequence":"additional","affiliation":[{"name":"Vicerrectorado de Investigaci\u00f3n, Universidad Cat\u00f3lica de Santa Mar\u00eda, Yanahuara 04013, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2023, April 05). 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