DSpace Repository

A Modified Fuzzy A* Based Inference System for Path Planning in an Unknown Environment

Show simple item record

dc.contributor.author Viswanathan, Sangeetha
dc.date.accessioned 2024-10-28T05:40:49Z
dc.date.available 2024-10-28T05:40:49Z
dc.date.issued 2018-05
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/8553868
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16238
dc.description.abstract One of the major challenges in a path planner system is finding the shortest path in the least time and cost. In this paper, fuzzy logic based A* algorithm is discussed. A* search is a heuristic method and when it is combined with Fuzzy logic, will yield greater global convergence. The proposed method addresses the path -searching behavior with minimum time and risk. In the fuzzy logic architecture, diagonal front-right distance, turn, goal distance, angle and speed are given as the inputs to the fuzzy inference system. Mamdani systems is used as Inference system for a better simulation the experiment is carried out in MATLAB environment and it is found that Fuzzy A* shows a shorter path in less time than the existing A* method. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject Path Planning en_US
dc.subject Fuzzy inference en_US
dc.subject A* Search en_US
dc.subject Fuzzification en_US
dc.subject Rule base en_US
dc.subject Obstacle Avoidance en_US
dc.title A Modified Fuzzy A* Based Inference System for Path Planning in an Unknown Environment en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account