Particle Filtering for Location Estimation
2011 master's thesis by Oliver Francis Daley Krenek at University of Canterbury
Press Enter · cited answer in seconds
0 sources
Particle Filtering for Location Estimation
Summary
Particle Filtering for Location Estimation is a master's thesis[1].
Key Facts
- Particle Filtering for Location Estimation's instance of is recorded as master's thesis[2].
- Particle Filtering for Location Estimation was published by UC Research Repository[3].
- Particle Filtering for Location Estimation's language of work or name is recorded as English[4].
- Particle Filtering for Location Estimation's country of origin is recorded as New Zealand[5].
- Particle Filtering for Location Estimation was released on 2011[6].
- Particle Filtering for Location Estimation's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/5805[7].
- Particle Filtering for Location Estimation's title is recorded as Particle Filtering for Location Estimation[8].
- Particle Filtering for Location Estimation's author name string is recorded as Oliver Francis Daley Krenek[9].
- Particle Filtering for Location Estimation's thesis submitted to is recorded as University of Canterbury[10].
- Particle Filtering for Location Estimation's on focus list of Wikimedia project is recorded as NZThesisProject[11].
- Particle Filtering for Location Estimation's copyright status is recorded as copyrighted[12].
- Particle Filtering for Location Estimation's online access status is recorded as open access[13].
- Particle Filtering for Location Estimation's thesis committee member is recorded as Phil Bones[14].
- Particle Filtering for Location Estimation's thesis submitted for degree is recorded as Master of Engineering[15].
Body
Designation and Status
Particle Filtering for Location Estimation's instance of is recorded as master's thesis[2].