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AuthorChan Yet, W.
AuthorQidwai, U.
Available date2024-05-07T05:40:01Z
Publication Date2005
Publication NameProceedings of IEEE Sensors
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICSENS.2005.1597721
URIhttp://hdl.handle.net/10576/54718
AbstractAn obstacle avoidance system was developed for a custom-made Autonomous Navigational Robotic Vehicle (ANROV), based on an intelligent sensor network and fuzzy logic control. Unlike conventional crisp control systems, this system is based on soft computing, such that the system mimics human decision making processes and can better recognize obstacles and decide the best course of action. The fuzzy logic control system was developed in MATLAB, the GUI was designed in LabView, and the hardware realization was installed in ANROV for evaluation and development.
Languageen
PublisherIEEE
SubjectAccident prevention
Fuzzy control
Fuzzy sets
Intelligent agents
Object recognition
Sensors
Fuzzy logic control system
Hardware realization
MATLAB
Obstacle avoidance system
Telecommunication networks
TitleIntelligent sensor network for obstacle avoidance strategy
TypeConference Paper
Pagination405-408
Volume Number2005
dc.accessType Abstract Only


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