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Development of an Augmented Reality Environment for Connected and Automated Vehicle Testing

dc.contributor.authorLiu, Henryen_US
dc.contributor.authorFeng, Yihengen_US
dc.date.accessioned2019-06-07T19:16:41Z
dc.date.available2019-06-07T19:36:41Zen
dc.date.issued2019-01
dc.identifierUMTRI-2019-4en_US
dc.identifier.citationFeng, Y., & Liu, H.X. (2019). Development of an Augmented Reality Environment for Connected and Automated Vehicle Testing. Final Report. USDOT CCAT Project No. 2. Identifier: http://hdl.handle.net/2027.42/149453en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/149453
dc.descriptionTechnical Reporten_US
dc.description.abstractCurrently closed Connected and Automated (CAV) testing facilities, such as Mcity, merely provide empty roadways, in which test CAVs can only interact with each other and the infrastructure (e.g. traffic signals). However, a complete testing environment should also include background traffic to interact with the test CAVs. Involving real vehicles as background traffic is not only costly, but also difficult to coordinate and control. To address the limitation, in this project we develop an augmented reality testing environment in which background traffic is generated in microscopic simulation and provided to test CAVs to augment the functionality of the test facility. The augmented reality combines the real-world testing facility and a simulation platform, in which movements of test CAVs and traffic signals in the real-world can be synchronized in simulation, while simulated traffic information can be provided to test CAVs’ communication system. Test CAVs “think” they are surrounded by other vehicles and adjust behaviors accordingly. This technology provides a realistic traffic environment to the CAVs, so that test scenarios which require interactions with other vehicles or pedestrians can be performed. Compared to using real vehicles, simulated vehicles can be easily controlled and manipulated in generating different scenarios with much less cost in a safe environment.en_US
dc.languageEnglishen_US
dc.publisherUniversity of Michigan, Ann Arbor, Transportation Research Instituteen_US
dc.titleDevelopment of an Augmented Reality Environment for Connected and Automated Vehicle Testingen_US
dc.typeTechnical Report
dc.subject.hlbsecondlevelTransportation
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149453/3/CCAT Project 2 Final Report_rvsd_2019_06_05.pdf
dc.identifier.orcid0000-0002-3685-9920en_US
dc.identifier.orcid0000-0001-5656-3222en_US
dc.description.filedescriptionDescription of CCAT Project 2 Final Report_rvsd_2019_06_05.pdf : Technical Report
dc.description.filedescriptionDescription of CCAT Project 2 Final Report_rvsd_2019_06_05.pdf : Technical Report
dc.identifier.name-orcidLiu, Henry; 0000-0002-3685-9920en_US
dc.identifier.name-orcidFeng, Yiheng; 0000-0001-5656-3222en_US
dc.owningcollnameTransportation Research Institute (UMTRI)


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