Development of efficient path planning algorithm for UAV navigation

In this report, Rapidly-exploring Random Tree (RRT) and Bidirectional Rapidly-exploring Random Tree (BiRRT) were implemented for drone path planning. Our design and analysis of path planning algorithms based on RRT and BiRRT is presented. We tried to enhance the computation capability by varying the...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Kothai Manickam, Laxman
مؤلفون آخرون: Wang Han
التنسيق: Final Year Project
اللغة:English
منشور في: 2018
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10356/74623
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
الوصف
الملخص:In this report, Rapidly-exploring Random Tree (RRT) and Bidirectional Rapidly-exploring Random Tree (BiRRT) were implemented for drone path planning. Our design and analysis of path planning algorithms based on RRT and BiRRT is presented. We tried to enhance the computation capability by varying the goal bias which minimizes the time to find a collision free path to the destination. Experimental results are discussed and compared. Other important issues and recommendations for future research are also discussed.