Authors:
Prosper Anouboudem Kinfack Fabrice
;
Hamam Yskandar
and
Djouani Karim
Affiliation:
Tshwane University of Technology, South Africa
Keyword(s):
Neuro-Fuzzy inference, Bayes net, Human behaviour modelling, Autonomous vehicle navigation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Control
;
Fuzzy Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Transportation Technologies and Systems
;
Machine Learning in Control Applications
;
Neural Networks Based Control Systems
;
Robotics and Automation
;
Soft Computing
;
Vehicle Control Applications
Abstract:
Wheelchairs users still face challenges when driving their standard design based vehicle. Given the matter, this work aims to implement an assisted control for a wheelchair, depending on the driving behaviour of the user. Therefore, a Bayesian network model will be implemented to help infer on the human behaviour. Thereafter, the inferred state of the user will serve as input to an ANFIS model. The role of the ANFIS model is to generate an assistive signal in order to compensate the input from the user.