Fuzzy inference approach for autonomous ground vehicle navigation in dynamic environment

Al-Mayyahi, Auday and Wang, William (2014) Fuzzy inference approach for autonomous ground vehicle navigation in dynamic environment. In: 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 28-30 November 2014, Batu Ferringhi.

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In recent years intelligent soft computing technique such as fuzzy inference system (FIS) is proven to be an efficient and suitable when applied to variety of systems. In this paper, we intend to formulate two fuzzy inference systems; sensors based navigation technique for an autonomous vehicle in cluttered dynamic environment. The first FIS controller utilises three sensors based information such as front distance (FD), right distance (RD), left distance (LD) and the second FIS controller employs the angle difference (AD) between the autonomous vehicle's heading and the target angle for choosing the optimal direction while moving towards the target. The simulation experiments have been carried out under three different scenarios to investigate the validation of the proposed FIS controllers. We have presented the simulation experiments using MATLAB software package, showing that the FIS controllers consistently perform navigation task and path planning safely and efficiently in a terrain populated with moving obstacles.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Nikoleta Kiapidou
Date Deposited: 30 Jun 2015 12:31
Last Modified: 30 Jun 2015 12:31
URI: http://sro.sussex.ac.uk/id/eprint/55055

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