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  • 6.2019-0920

    Final published version, 958 KB, PDF-document

DOI

Advancements in Unmanned Aerial Vehicles (UAVs) design, actuator and sensory systems and control are making such devices financially available to a wide spectrum of users with various demands and expectations. To mitigate with this ever increasing demand robust, efficient and application–specific path planning is important. This paper presents advancements over the A* and the smoothing algorithms presented in, 1 utilising the same test scenarios. Analysis of results in 1 showed a ripple in path length as the resolution changes for all scenarios considered and less than 0.1% path length improvements after certain amount of smoothing iterates. To attenuate the path length ripple, the A* ripple reduction algorithm was developed. Results show a reduction of more than 46% in terms of standard deviation with respect to the original A* algorithm without any increase in the mean path length for all scenarios. Secondly, the smoothing algorithm developed in 1 was improved to stop smoothing based on the rate of smoothing of previous iterates. Results show more than 10 multiple less path smoothing time maintaining a path length reduction especially for simple scenarios. These advancements further portray the discussed path planning algorithms as candidates to the realisation of online 3D UAV path planning.

Original languageEnglish
Title of host publicationAIAA Scitech 2019 Forum
Subtitle of host publication7-11 January 2019, San Diego, California, USA
Number of pages17
ISBN (Electronic)978-1-62410-578-4
DOIs
Publication statusPublished - 2019
EventAIAA Scitech 2019 Forum - San Diego, United States
Duration: 7 Jan 201911 Jan 2019
https://arc.aiaa.org/doi/book/10.2514/MSCITECH19

Conference

ConferenceAIAA Scitech 2019 Forum
CountryUnited States
CitySan Diego
Period7/01/1911/01/19
Internet address

ID: 51908735