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https://hdl.handle.net/10356/74623| Title: | Development of efficient path planning algorithm for UAV navigation | Authors: | Kothai Manickam, Laxman | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems | Issue Date: | 2018 | Abstract: | 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. | URI: | http://hdl.handle.net/10356/74623 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FYP_Final_Report_Manickam.pdf Restricted Access | FYP Final Report | 3.37 MB | Adobe PDF | View/Open |
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