Aboelmagd Noureldin

Implementation methodology of embedded land vehicle positioning using an integrated GPS and multi sensor system

This paper presents an embedded implementation approach of land vehicle navigation involving a Multi Sensor System (MSS) consisting of a single-axis gyroscope and an odometer integrated with GPS receiver. With the assumption that the vehicle stays mostly in the horizontal plane, the vehicle speed obtained from the odometer measurements is decomposed into east and north velocities by using heading information from the gyroscope. Subsequently, the vehicles position in latitude and longitude are determined. MSS errors are estimated by an integrated MSS/GPS Kalman filter (KF) which relies on a dynamic error model of position, velocity and heading as well as stochastic models for gyroscope and odometer errors. In case of a GPS outage, the designed KF module provides positioning information. The decentralized KF algorithm is described in software and is executed on an embedded soft core processor containing a single precision floating point unit. Results were validated imposing numerous simulated GPS outages of varied lengths on road test trajectory data of GPS receiver, car chip odometer and single axis MEMS based gyro. The length of the simulated GPS outages varied from 36 s to 425 s on three different road trajectories. Results show a maximum positional error of 110 m for an outage of 120s duration and a minimum positional error of 14 m for an outage of 60 s duration with respect to the reference trajectory.

Improved Inertial/Odometry/GPS Positioning of Wheeled Robots Even in GPS-Denied Environments

Eric North1, Jacques Georgy2, Umar Iqbal3, Mohammed Tarbochi4 and Aboelmagd Noureldin5 1Canadian Forces Aerospace and Telecommunications Engineering Support Squadron 2Trusted Positioning Inc. 3Electrical and Computer Engineering Department, Queen’s University 4Electrical and Computer Engineering Department, Royal Military College 5Electrical and Computer Engineering Department, Royal Military College/Queen’s University Canada