dc.contributor.author | Kewlani, Gaurav | |
dc.contributor.author | Iagnemma, Karl | |
dc.contributor.author | Horner, David A. | |
dc.contributor.author | Jones, Randolph A. | |
dc.contributor.author | Cummins, Christopher L. | |
dc.contributor.author | Toschlog, Matthew | |
dc.contributor.author | Crawford, Justin | |
dc.contributor.author | Rohde, Mitchell M. | |
dc.date.accessioned | 2010-03-17T19:10:06Z | |
dc.date.available | 2010-03-17T19:10:06Z | |
dc.date.issued | 2009-04 | |
dc.identifier.issn | 0277-786X | |
dc.identifier.uri | http://hdl.handle.net/1721.1/52682 | |
dc.description.abstract | It is widely recognized that simulation is pivotal to vehicle development, whether manned or unmanned. There are few dedicated choices, however, for those wishing to perform realistic, end-to-end simulations of unmanned ground vehicles (UGVs). The Virtual Autonomous Navigation Environment (VANE), under development by US Army Engineer Research and Development Center (ERDC), provides such capabilities but utilizes a High Performance Computing (HPC) Computational Testbed (CTB) and is not intended for on-line, real-time performance. A product of the VANE HPC research is a real-time desktop simulation application under development by the authors that provides a portal into the HPC environment as well as interaction with wider-scope semi-automated force simulations (e.g. OneSAF). This VANE desktop application, dubbed the Autonomous Navigation Virtual Environment Laboratory (ANVEL), enables analysis and testing of autonomous vehicle dynamics and terrain/obstacle interaction in real-time with the capability to interact within the HPC constructive geo-environmental CTB for high fidelity sensor evaluations. ANVEL leverages rigorous physics-based vehicle and vehicle-terrain interaction models in conjunction with high-quality, multimedia visualization techniques to form an intuitive, accurate engineering tool. The system provides an adaptable and customizable simulation platform that allows developers a controlled, repeatable testbed for advanced simulations. ANVEL leverages several key technologies not common to traditional engineering simulators, including techniques from the commercial video-game industry. These enable ANVEL to run on inexpensive commercial, off-the-shelf (COTS) hardware. In this paper, the authors describe key aspects of ANVEL and its development, as well as several initial applications of the system. | en |
dc.language.iso | en_US | |
dc.publisher | SPIE | en |
dc.relation.isversionof | http://dx.doi.org/10.1117/12.820069 | en |
dc.rights | 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. | en |
dc.source | SPIE | en |
dc.title | An Interactive, physics-based unmanned ground vehicle simulator leveraging open source gaming technology: Progress in the development and application of the virtual autonomous navigation environment (VANE) desktop | en |
dc.type | Article | en |
dc.identifier.citation | Rohde, Mitchell M. et al. “An interactive physics-based unmanned ground vehicle simulator leveraging open source gaming technology: progress in the development and application of the virtual autonomous navigation environment (VANE) desktop.” Unmanned Systems Technology XI. Ed. Grant R. Gerhart, Douglas W. Gage, & Charles M. Shoemaker. Orlando, FL, USA: SPIE, 2009. 73321C-13. © 2009 SPIE--The International Society for Optical Engineering | en |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Manufacturing and Productivity | en_US |
dc.contributor.approver | Iagnemma, Karl | |
dc.contributor.mitauthor | Kewlani, Gaurav | |
dc.contributor.mitauthor | Iagnemma, Karl | |
dc.relation.journal | Proceedings of SPIE | en |
dc.eprint.version | Final published version | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en |
dspace.orderedauthors | Rohde, Mitchell M.; Crawford, Justin; Toschlog, Matthew; Iagnemma, Karl D.; Kewlani, Guarav; Cummins, Christopher L.; Jones, Randolph A.; Horner, David A. | en |
dc.identifier.orcid | https://orcid.org/0000-0001-6244-0069 | |
mit.license | PUBLISHER_POLICY | en |
mit.metadata.status | Complete | |