Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks

Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks

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...

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Bibliographic Details
Main Authors: Luis C. Reveles-Gómez, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría-Huidobro, Hamurabi Gamboa-Rosales, Roberto Solís-Robles, José G. Arceo-Olague, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, David Rondon, Klinge O. Villalba-Condori
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
backward pedestrian detection
reverse camera
convolutional neural networks (CNN)
sensors
distances
Online Access:https://www.mdpi.com/1424-8220/23/17/7559

Internet

https://www.mdpi.com/1424-8220/23/17/7559

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