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https://hdl.handle.net/1889/2268
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Broggi, Alberto | - |
dc.contributor.author | Panciroli, Matteo | - |
dc.date.accessioned | 2013-07-15T13:10:16Z | - |
dc.date.available | 2013-07-15T13:10:16Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://hdl.handle.net/1889/2268 | - |
dc.description.abstract | This thesis presents the topic of the extrinsic calibration of active and passive sensors which are used on modern intelligent vehicles to get a rich perception of the surrounding environment. An in-depth analysis of the intercalibration procedure was conduced with respect to the data fusion accuracy. Several laser and camera intercalibration procedure are presented and a new method based on triangular calibration target is detailed. Finally, a calibration procedure is proposed; tested on different prototypes (e.g., BRAiVE and VIAC vehicles) with different sensor suits. | it |
dc.language.iso | Inglese | it |
dc.publisher | Università degli Studi di Parma. Dipartimento di Ingegneria dell'Informazione | it |
dc.relation.ispartofseries | Dottorato di Ricerca in Tecnologie dell'Informazione | it |
dc.rights | © Matteo Panciroli, 2013 | it |
dc.subject | calibration | it |
dc.subject | camera extrinsic calibration | it |
dc.subject | intercalibration | it |
dc.subject | cross-calibration | it |
dc.subject | multi-layer LIDAR | it |
dc.subject | laser | it |
dc.subject | laser scanner | it |
dc.subject | camera | it |
dc.subject | triangular calibration targets | it |
dc.subject | perspective three points problem | it |
dc.subject | localization determination problem | it |
dc.subject | computer vision | it |
dc.subject | intelligent vehicles | it |
dc.subject | sensor fusion | it |
dc.title | Laser and Camera Intercalibration Techniques for Multi-Sensorized Vehicles | it |
dc.type | Doctoral thesis | it |
dc.subject.miur | ING-INF/05 | it |
Appears in Collections: | Tecnologie dell'informazione. Tesi di dottorato |
Files in This Item:
File | Description | Size | Format | |
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TesiDottorato-DSPACE.pdf | tesi completa | 23.39 MB | Adobe PDF | View/Open |
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