Poster Abstract: Automatic Calibration of Device Attitude in Inertial Measurement Unit Based Traffic Probe Vehicles
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2016-04-28Online Publication Date
2016-04-28Print Publication Date
2016-04Permanent link to this record
http://hdl.handle.net/10754/621286
Metadata
Show full item recordAbstract
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.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 2016ae974a485f413a2113503eed53cd6c53
10.1109/IPSN.2016.7460698