The Drone tour guide

dc.contributor.authorAnyinam-Boateng, Kojo Nyamekye
dc.date.accessioned2019-08-02T10:33:24Z
dc.date.available2019-08-02T10:33:24Z
dc.date.issued2018-04
dc.descriptionApplied Thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2018en_US
dc.description.abstractThis paper examines the implementation of a navigation and tour planner module using a drone as a tour guide. The project is a buildup on a subsequent project during a robotics class project at Ashesi University College. This was to aid the admissions team reduce pressure on Student Ambassadors and to also have tour guides available at all times. This paper describes the implementation of the navigation and tour planning modules. Planning a tour is formulated by the Wavefront Algorithm. Also described in this paper, is how Dijkstra’s shortest path algorithm is applied in conjunction with permutations to develop a tour planning module. Proper testing and evaluation were done to check the validity of the system.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11988/440
dc.language.isoen_USen_US
dc.publisherAshesi Universityen_US
dc.subjecttour planneren_US
dc.subjecttour planner moduleen_US
dc.subjectdroneen_US
dc.subjecttour guideen_US
dc.subjectWavefront Algorithmen_US
dc.subjectDijkstra’s shortest path algorithmen_US
dc.titleThe Drone tour guideen_US
dc.typeThesisen_US

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