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

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    Type
    Conference Paper
    Authors
    Mousa, Mustafa cc
    Sharma, Kapil
    Claudel, Christian cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-04-28
    Online Publication Date
    2016-04-28
    Print Publication Date
    2016-04
    Permanent link to this record
    http://hdl.handle.net/10754/621286
    
    Metadata
    Show full item record
    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.
    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
    DOI
    10.1109/IPSN.2016.7460698
    ae974a485f413a2113503eed53cd6c53
    10.1109/IPSN.2016.7460698
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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