An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance

An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance

Advanced driving-assistance systems (ADAS) are intended to automatize driver tasks, as well as improve driving and vehicle safety. This work proposes an intelligent neuro-fuzzy sensor for driving style (DS) recognition, suitable for ADAS enhancement. The development of the driving style intelligent...

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Bibliographic Details
Main Authors: Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
advanced driving assistance systems (ADAS)
safety and comfort
driving style
unsupervised clustering
k-means
adaptive neuro-fuzzy inference system (ANFIS)
field-programmable gate array (FPGA)
programmable system-on-chip (PSoC)
Online Access:https://www.mdpi.com/1424-8220/19/18/4011

Internet

https://www.mdpi.com/1424-8220/19/18/4011

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