Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems

Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems

Autonomous vehicles are increasingly becoming a necessary trend towards building the smart cities of the future. Numerous proposals have been presented in recent years to tackle particular aspects of the working pipeline towards creating a functional end-to-end system, such as object detection, trac...

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Bibliographic Details
Main Authors: Edgar Cortés Gallardo Medina, Victor Miguel Velazquez Espitia, Daniela Chípuli Silva, Sebastián Fernández Ruiz de las Cuevas, Marco Palacios Hirata, Alfredo Zhu Chen, José Ángel González González, Rogelio Bustamante-Bello, Carlos Francisco Moreno-García
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
autonomous vehicle
autonomous driving system
computer vision
neural networks
feature extraction
segmentation
Online Access:https://www.mdpi.com/2076-3417/11/7/2925

Internet

https://www.mdpi.com/2076-3417/11/7/2925

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