Tree position detection for autonomous UAV navigation
2017 master's thesis by Peiwen Luo at University of Canterbury
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Tree position detection for autonomous UAV navigation
Summary
Tree position detection for autonomous UAV navigation is a master's thesis[1].
Key Facts
- Tree position detection for autonomous UAV navigation's instance of is recorded as master's thesis[2].
- Tree position detection for autonomous UAV navigation was published by UC Research Repository[3].
- Tree position detection for autonomous UAV navigation's language of work or name is recorded as English[4].
- Tree position detection for autonomous UAV navigation's country of origin is recorded as New Zealand[5].
- Tree position detection for autonomous UAV navigation was published on 2017[6].
- Tree position detection for autonomous UAV navigation's main subject is computer science[7].
- Tree position detection for autonomous UAV navigation's title is recorded as Tree position detection for autonomous UAV navigation[8].
- Tree position detection for autonomous UAV navigation's author name string is recorded as Peiwen Luo[9].
- Tree position detection for autonomous UAV navigation's thesis submitted to is recorded as University of Canterbury[10].
- Tree position detection for autonomous UAV navigation's on focus list of Wikimedia project is recorded as NZThesisProject[11].
- Tree position detection for autonomous UAV navigation's copyright status is recorded as copyrighted[12].
- Tree position detection for autonomous UAV navigation's online access status is recorded as open access[13].
- Tree position detection for autonomous UAV navigation's thesis committee member is recorded as Richard Green[14].
- Tree position detection for autonomous UAV navigation's thesis submitted for degree is recorded as Master of Science[15].
Body
Designation and Status
Tree position detection for autonomous UAV navigation's instance of is recorded as master's thesis[2].