Sensor modeling for the virtual autonomous navigation environment
The Virtual Autonomous Navigation Environment (VANE) is a high fidelity, physics-based simulation process that produces realistic simulated sensor output for use in the development and testing of Autonomous Mobility Systems (AMS). The VANE produces simulated sensor output for ranging and camera sens...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/59345 |
| _version_ | 1826212702909890560 |
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| author | Liu, Linda Y. Goodin, Chris Kala, Raju Carrrillo, Alex |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Liu, Linda Y. Goodin, Chris Kala, Raju Carrrillo, Alex |
| author_sort | Liu, Linda Y. |
| collection | MIT |
| description | The Virtual Autonomous Navigation Environment (VANE) is a high fidelity, physics-based simulation process that produces realistic simulated sensor output for use in the development and testing of Autonomous Mobility Systems (AMS). The VANE produces simulated sensor output for ranging and camera sensors that are characterized by a few easily determined input parameters. This flexibility allows for the efficient characterization of a sensor interaction with a particular AMS. This paper presents the development of these models and some initial results. |
| first_indexed | 2024-09-23T15:35:52Z |
| format | Article |
| id | mit-1721.1/59345 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:35:52Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/593452022-09-29T14:57:22Z Sensor modeling for the virtual autonomous navigation environment Liu, Linda Y. Goodin, Chris Kala, Raju Carrrillo, Alex Massachusetts Institute of Technology. Department of Mechanical Engineering Liu, Linda Y. Liu, Linda Y. The Virtual Autonomous Navigation Environment (VANE) is a high fidelity, physics-based simulation process that produces realistic simulated sensor output for use in the development and testing of Autonomous Mobility Systems (AMS). The VANE produces simulated sensor output for ranging and camera sensors that are characterized by a few easily determined input parameters. This flexibility allows for the efficient characterization of a sensor interaction with a particular AMS. This paper presents the development of these models and some initial results. 2010-10-14T20:13:16Z 2010-10-14T20:13:16Z 2010-01 2009-10 Article http://purl.org/eprint/type/JournalArticle 978-1-4244-4548-6 1930-0395 INSPEC Accession Number: 11134514 http://hdl.handle.net/1721.1/59345 Goodin, C. et al. “Sensor modeling for the Virtual Autonomous Navigation Environment.” Sensors, 2009 IEEE. 2009. 1588-1592. © 2010 Institute of Electrical and Electronics Engineers. en_US http://dx.doi.org/10.1109/ICSENS.2009.5398491 2009 IEEE Sensors Conference Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Liu, Linda Y. Goodin, Chris Kala, Raju Carrrillo, Alex Sensor modeling for the virtual autonomous navigation environment |
| title | Sensor modeling for the virtual autonomous navigation environment |
| title_full | Sensor modeling for the virtual autonomous navigation environment |
| title_fullStr | Sensor modeling for the virtual autonomous navigation environment |
| title_full_unstemmed | Sensor modeling for the virtual autonomous navigation environment |
| title_short | Sensor modeling for the virtual autonomous navigation environment |
| title_sort | sensor modeling for the virtual autonomous navigation environment |
| url | http://hdl.handle.net/1721.1/59345 |
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