Abstract
Four-wheeled electric vehicles effectively assist users, such as the elderly, in their movement but the dynamic characteristic of these vehicles is too complex to move abeam, making them difficult inexperienced users to drive. To predict the future state of dynamic obstacles and how to elude such obstacle safely, we used a predictive fuzzy controller (evaluates the future states which several kinds of operation candidates were done and chooses the best one) that modeling human algorithms in the system. Human predict the future states of dynamic obstacles and choose a driving operation to safely elude them. To do so, we incorporated expert knowledge of safe driving into this controller. In this paper, we propose and develop the intelligent soft driving system by a controller that eludes dynamic obstacles safely, and confirmed its effectiveness in experiments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Advanced Computational Intelligence and Intelligent Informatics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
