Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles

Handle URI:
http://hdl.handle.net/10754/621286
Title:
Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles
Authors:
Mousa, Mustafa ( 0000-0001-9355-1343 ) ; Sharma, Kapil; Claudel, Christian
Abstract:
Probe vehicles consist in mobile traffic sensor networks that evolve with the flow of vehicles, transmitting velocity and position measurements along their path, generated using GPSs. To address the urban positioning issues of GPSs, we propose to replace them with inertial measurement units onboard vehicles, to estimate vehicle location and attitude using inertial data only. While promising, this technology requires one to carefully calibrate the orientation of the device inside the vehicle to be able to process the acceleration and rate gyro data. In this article, we propose a scheme that can perform this calibration automatically by leveraging the kinematic constraints of ground vehicles, and that can be implemented on low-end computational platforms. Preliminary testing shows that the proposed scheme enables one to accurately estimate the actual accelerations and rotation rates in the vehicle coordinates. © 2016 IEEE.
KAUST Department:
King Abdullah University, Science and Technology, Thuwal, Saudi Arabia
Citation:
Mousa M, Sharma K, Claudel C (2016) Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles. 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). Available: http://dx.doi.org/10.1109/IPSN.2016.7460698.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Conference/Event name:
15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016
Issue Date:
28-Apr-2016
DOI:
10.1109/IPSN.2016.7460698
Type:
Conference Paper
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorMousa, Mustafaen
dc.contributor.authorSharma, Kapilen
dc.contributor.authorClaudel, Christianen
dc.date.accessioned2016-11-03T06:56:52Z-
dc.date.available2016-11-03T06:56:52Z-
dc.date.issued2016-04-28en
dc.identifier.citationMousa M, Sharma K, Claudel C (2016) Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles. 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). Available: http://dx.doi.org/10.1109/IPSN.2016.7460698.en
dc.identifier.doi10.1109/IPSN.2016.7460698en
dc.identifier.urihttp://hdl.handle.net/10754/621286-
dc.description.abstractProbe vehicles consist in mobile traffic sensor networks that evolve with the flow of vehicles, transmitting velocity and position measurements along their path, generated using GPSs. To address the urban positioning issues of GPSs, we propose to replace them with inertial measurement units onboard vehicles, to estimate vehicle location and attitude using inertial data only. While promising, this technology requires one to carefully calibrate the orientation of the device inside the vehicle to be able to process the acceleration and rate gyro data. In this article, we propose a scheme that can perform this calibration automatically by leveraging the kinematic constraints of ground vehicles, and that can be implemented on low-end computational platforms. Preliminary testing shows that the proposed scheme enables one to accurately estimate the actual accelerations and rotation rates in the vehicle coordinates. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectGPS-denied environmenten
dc.titlePoster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehiclesen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University, Science and Technology, Thuwal, Saudi Arabiaen
dc.identifier.journal2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)en
dc.conference.date11 April 2016 through 14 April 2016en
dc.conference.name15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016en
dc.contributor.institutionUniversity of Texas, Austin, TX, United Statesen
kaust.authorMousa, Mustafaen
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