The Experts below are selected from a list of 174 Experts worldwide ranked by ideXlab platform
Navsys Corporation - One of the best experts on this subject based on the ideXlab platform.
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Performance Test Results of an Integrated GPS / MEMS Inertial Navigation Package
Architecture, 2003Co-Authors: Alison Brown, Alison K. Brown, Yan Lu, Navsys CorporationAbstract:This paper describes the performance test design, operation and results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated.
Alison Brown - One of the best experts on this subject based on the ideXlab platform.
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Performance test results of an integrated GPS/MEMS inertial navigation package
Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS), 2004Co-Authors: Alison Brown, Yan LuAbstract:This paper describes the design, operation and performance test results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated. The GPS/Inertial software integration is performed using NAVSYS’ modular InterNav software product. This allows integration with different low cost GPS chips sets or receivers and also allows the integrated GPS/inertial navigation solution to be embedded as an application on a customer’s host computer. This modular, object oriented architecture facilitates integration of the miniature MEMS GPS/INS navigation system for embedded navigation applications. Test results are presented in this paper showing the performance of the integrated MEMS GPS/INS navigation system when used to perform guidance for a small Unmanned Ground Vehicle (UGV). Data is provided showing the position, velocity and attitude accuracy when operating with GPS aiding and also for periods where GPS dropouts occur and alternative navigation update sources are used to bound the MEMS inertial navigation error growth.
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Performance Test Results of an Integrated GPS / MEMS Inertial Navigation Package
Architecture, 2003Co-Authors: Alison Brown, Alison K. Brown, Yan Lu, Navsys CorporationAbstract:This paper describes the performance test design, operation and results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated.
Yan Lu - One of the best experts on this subject based on the ideXlab platform.
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Performance test results of an integrated GPS/MEMS inertial navigation package
Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS), 2004Co-Authors: Alison Brown, Yan LuAbstract:This paper describes the design, operation and performance test results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated. The GPS/Inertial software integration is performed using NAVSYS’ modular InterNav software product. This allows integration with different low cost GPS chips sets or receivers and also allows the integrated GPS/inertial navigation solution to be embedded as an application on a customer’s host computer. This modular, object oriented architecture facilitates integration of the miniature MEMS GPS/INS navigation system for embedded navigation applications. Test results are presented in this paper showing the performance of the integrated MEMS GPS/INS navigation system when used to perform guidance for a small Unmanned Ground Vehicle (UGV). Data is provided showing the position, velocity and attitude accuracy when operating with GPS aiding and also for periods where GPS dropouts occur and alternative navigation update sources are used to bound the MEMS inertial navigation error growth.
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Performance Test Results of an Integrated GPS / MEMS Inertial Navigation Package
Architecture, 2003Co-Authors: Alison Brown, Alison K. Brown, Yan Lu, Navsys CorporationAbstract:This paper describes the performance test design, operation and results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated.
Alison K. Brown - One of the best experts on this subject based on the ideXlab platform.
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Performance Test Results of an Integrated GPS / MEMS Inertial Navigation Package
Architecture, 2003Co-Authors: Alison Brown, Alison K. Brown, Yan Lu, Navsys CorporationAbstract:This paper describes the performance test design, operation and results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and includes a triad of accelerometers and gyroscopes with additional sensors integrated for temperature compensation and baro Pressure Altitude aiding. The raw IMU data is provided through a serial interface to a processor board where the inertial navigation solution and integrated GPS/inertial Kalman filter is generated.
N. Shantha Kumar - One of the best experts on this subject based on the ideXlab platform.
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Real time sensor fusion for micro aerial vehicles using low cost systems
2016 Indian Control Conference (ICC), 2016Co-Authors: Sanketh Ailneni, S. K. Kashyap, N. Shantha KumarAbstract:Novel sensor fusion architecture is proposed to provide complete navigational solution for micro aerial vehicles (MAV) using low cost sensors and micro controller. The approach uses a nonlinear complementary filter (NCF) to estimate direction cosine matrix (DCM), the estimated attitude and heading from DCM are used in turn to predict MAV position in North and East direction and a two state extended Kalman filter (EKF) based estimator to estimate Altitude and vertical speed. The emphasis is on the EKF estimator which is driven by only one measurement without losing observability. The fusion algorithm uses tri-axial accelerometers, rate gyroscopes & magnetometers, Pressure Altitude and global positioning system (GPS) measurements. The proposed architecture is computationally less intensive and is implemented for real time application on a low cost microcontroller based autopilot board to provide the complete navigational solution at 50 Hz.
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ASCC - Real time sensor fusion for micro aerial vehicles using low cost systems
2015 10th Asian Control Conference (ASCC), 2015Co-Authors: Sanketh Ailneni, S. K. Kashyap, N. Shantha KumarAbstract:Novel sensor fusion architecture is proposed to provide complete navigational solution for micro aerial vehicles (MAV) using low cost sensors and micro controller. The approach uses a nonlinear complementary filter (NCF) to estimate direction cosine matrix (DCM), the estimated attitude and heading from DCM are used in turn to predict MAV position in North and East direction and a two state extended Kalman filter (EKF) based estimator to estimate Altitude and vertical speed. The emphasis is on the EKF estimator which is driven by only one measurement without losing observability. The fusion algorithm uses tri-axial accelerometers, rate gyroscopes & magnetometers, Pressure Altitude and global positioning system (GPS) measurements. The proposed architecture is computationally less intensive and is implemented for real time application on a low cost microcontroller based autopilot board to provide the complete navigational solution at 50 Hz.
