End-to-End Automated Guided Modular Vehicle

被引:14
|
作者
Curiel-Ramirez, Luis A. [1 ]
Ramirez-Mendoza, Ricardo A. [1 ]
Bautista-Montesano, Rolando [1 ]
Rogelio Bustamante-Bello, M. [1 ]
Gonzalez-Hernandez, Hugo G. [1 ]
Reyes-Avedano, Jorge A. [1 ]
Cortes Gallardo-Medina, Edgar [1 ]
机构
[1] Tecnol Monterrey, Sch Engn & Sci, Monterrey 64849, NL, Mexico
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 12期
关键词
autonomous vehicle; intelligent transportation systems; deep learning; automated guided vehicle; end-to-end learning; self-driving cars;
D O I
10.3390/app10124400
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Autonomous Vehicles (AVs) have caught people's attention in recent years, not only from an academic or developmental viewpoint but also because of the wide range of applications that these vehicles may entail, such as intelligent mobility and logistics, as well as for industrial purposes, among others. The open literature contains a variety of works related to the subject. They employ a diversity of techniques ranging from probabilistic to ones based on Artificial Intelligence. The increase in computing capacity, well known to many, has opened plentiful opportunities for the algorithmic processing needed by these applications, making way for the development of autonomous navigation, in many cases with astounding results. The following paper presents a low-cost but high-performance minimal sensor open architecture implemented in a modular vehicle. It was developed in a short period of time, surpassing many of the currently available solutions found in the literature. Diverse experiments were carried out in the controlled and circumscribed environment of an autonomous circuit that demonstrates the efficiency of the applicability of the developed solution.
引用
收藏
页数:27
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