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http://arks.princeton.edu/ark:/88435/dsp013197xp79vFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Chen, Yuxin | - |
| dc.contributor.author | Rodriguez, Raoul | - |
| dc.date.accessioned | 2018-08-20T15:50:19Z | - |
| dc.date.available | 2018-08-20T15:50:19Z | - |
| dc.date.created | 2018-05-07 | - |
| dc.date.issued | 2018-08-20 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp013197xp79v | - |
| dc.description.abstract | We present an evaluation of Rovio, a Visual-Inertial Odometry framework created and maintained by Eidgen¨ossische Technische Hochschule Z¨urich’s (ETH-Zurich) Autonomous Systems Laboratory (ASL). We create a platform for many-camera pose estimation evaluation using low-grade hardware and find the the framework is not able to function properly with low-quality IMU sensors, and retain the investigation of many-camera performance to future research | en_US |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en | en_US |
| dc.title | Many-Sensor Visual-Inertial Odometry in Constrained Systems | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2018 | en_US |
| pu.department | Electrical Engineering | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| pu.contributor.authorid | 960962648 | - |
| pu.certificate | Applications of Computing Program | en_US |
| Appears in Collections: | Electrical Engineering, 1932-2020 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| RODRIGUEZ-RAOUL-THESIS.pdf | 3.84 MB | Adobe PDF | Request a copy |
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