Static Obstacles Avoidance in Autonomous Ground Vehicle using Fuzzy Logic Controller

Navigation technology is conceivably an important requirement for real time application of Autonomous vehicle. This paper focuses on the application of one of the soft computing technique i.e. a fuzzy logic based controller on the autonomous vehicle for the challenging job of obstacle avoidance. The...

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Bibliographic Details
Published in2020 International Conference for Emerging Technology (INCET) pp. 1 - 6
Main Authors Singh, Manjari, Das, Subhranil, Mishra, Sudhansu Kumar
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2020
Subjects
Autonomous vehicles
Collision avoidance
Fuzzy logic
Fuzzy logic controller
Mobile robots
Navigation
obstacle avoidance
Robot sensing systems
rule base
Wheels
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Summary:Navigation technology is conceivably an important requirement for real time application of Autonomous vehicle. This paper focuses on the application of one of the soft computing technique i.e. a fuzzy logic based controller on the autonomous vehicle for the challenging job of obstacle avoidance. The proposed fuzzy logic controller is having two input and one output. The distances from left and right sensor have been considered as the input, whereas, the rotation angle is considered as the output. A total of 36 set of rule base have been used in designing the fuzzy logic controllers with Graphical User Interface (GUI), that provides the information in which the vehicle moves.
DOI:10.1109/INCET49848.2020.9154145