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 |
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