Real time FPGA-ANN architecture for outdoor obstacle detection focused in road safety-Reference-Cited by-同舟云学术

Real time FPGA-ANN architecture for outdoor obstacle detection focused in road safety

Published:2019-05-14 Issue:5 Volume:36 Page:4425-4436
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Algredo-Badillo Ignacio¹,Morales-Rosales Luis Alberto²,Hernandez-Gracidas Carlos Arturo³,Cruz-Victoria Juan Crescenciano⁴,Pacheco-Bautista Daniel⁵,Morales-Sandoval Miguel⁶

Affiliation:

1. Conacyt-Instituto Nacional de Astrofisica, Optica y Electronica, Luis Enrique Erro #1, Santa Maria Tonatzintla, Puebla, Mexico

2. Conacyt-Universidad Michoacana de San Nicolas de Hidalgo, Gral. Francisco J. Mugica S/N, Ciudad Universitaria, Morelia, Michoacan, Mexico

3. Conacyt-Benemerita Universidad Autonoma de Puebla, 4 Sur #104; Col. Centro, Puebla de Zaragoza, Mexico

4. Universidad Politecnica de Tlaxcala, Avenida Universidad Politecnica No.1, San Pedro Xalcaltinco, Tlaxcala, Mexico

5. Universidad del Istmo, Ciudad Universitaria S/N, Santa Cruz, Tehuantepec, Oaxaca, Mexico

6. CINVESTAV, Carretera Victoria- Soto la Marina Kilometro 5.5, Ciudad Victoria - Soto la Marina, 87130 Cd Victoria, Tamps

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

1. Oak Ridge National Laboratory, Transportation Energy Data Book: Edition 33, ORNL-6990, Oak Ridge, TN, July 2014.

2. World Health Organization. Global status report on road safety 2015. World Health Organization, 2015.

3. Object class detection: A survey;Zhang;ACM Comput. Surv.,2013

4. Adaptive obstacle detection for mobile robots in urban environments using downward-looking 2D LiDAR;Pang;Sensors,2018

5. Real-time obstacle detection for legged robots using the Kinect sensor;Weihai;Advanced Robotics

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