Assessment of Different Sensor Configurations for Collaborative Driving in Urban Environments

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dc.contributor.authorPetovello, Mark G.
dc.contributor.authorBasnayake, Chaminda
dc.contributor.authorO'Keefe, Kyle
dc.contributor.authorWei, Phil
dc.date.accessioned2018-01-08T19:08:24Z
dc.date.available2018-01-08T19:08:24Z
dc.date.issued2013-01-07
dc.date.updated2018-09-27T11:46:53Z
dc.description.abstractVehicle-to-vehicle relative navigation of a network of vehicles travelling in an urban canyon is assessed using least-squares and Kalman filtering covariance simulation techniques. Between-vehicle differential GPS is compared with differential GPS augmented with between-vehicle ultrawideband range and bearing measurements. The three measurement types are combined using both least-squares and Kalman filtering to estimate the horizontal positions of a network of vehicles travelling in the same direction on a road in a simulated urban canyon. The number of vehicles participating in the network is varied between two and nine while the severity of the urban canyon was varied from 15-to 65-degree elevation mask angles. The effect of each vehicle’s azimuth being known a priori, or unknown is assessed. The resulting relative positions in the network of vehicles are then analysed in terms of horizontal accuracy and statistical reliability of the solution. The addition of both range and bearing measurements provides protection levels on the order of 2 m at almost all times where DGPS alone only rarely has observation redundancy and often exhibits estimated accuracies worse than 200 m. Reliability is further improved when the vehicle azimuth is assumed to be known a priori.
dc.description.grantingagencyAlberta Innovates - Research Granten_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council - Collaborative Research & Development Granten_US
dc.description.versionPeer Reviewed
dc.identifier.citationMark G. Petovello, Kyle O'Keefe, Phil Wei, and Chaminda Basnayake, “Assessment of Different Sensor Configurations for Collaborative Driving in Urban Environments,” International Journal of Navigation and Observation, vol. 2013, Article ID 767313, 16 pages, 2013. doi:10.1155/2013/767313
dc.identifier.doihttps://doi.org/10.1155/2013/767313
dc.identifier.urihttp://hdl.handle.net/1880/108315
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/37445
dc.language.isoenen_US
dc.publisherHindawien_US
dc.publisher.departmentGeomatics Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.hasversionPublisher's versionen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.policyhttps://www.hindawi.com/journals/apm/guidelines/en_US
dc.rights© 2013 Mark G. Petovello et al.
dc.rights.holderCopyright © 2013 Mark G. Petovello et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleAssessment of Different Sensor Configurations for Collaborative Driving in Urban Environments
dc.typejournal article
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