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A low-cost GPS&INS integrated system based on a FPGA platform
2011 Edition, June 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Nowadays is common to find different applications where GPS and INS integration is achieved, such as: identifying track defects, guidance, navigation and control of Unmanned Air Vehicles (UAV), geo-referencing, etc. The combination between these navigation instruments provides higher...

Low-cost GPS/INS guided stand-off weapon study
1988 Edition, January 1, 1988 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The results are summarized of a six-month study of three candidate low-cost Global Positioning System/Inertial Navigation System (GPS/INS) guided stand-off weapons. Among the technical issues of interest were an assessment of the performance of...

A low-cost GPS/INS integration methodology based on DGPM during GPS outages
2018 Edition, April 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

How to achieve continuous, reliable and accurate positioning performance using low-cost sensors is one of the main challenges for aviation navigation system. Global Positioning System (GPS) can provide the primary means of navigation in a number of aviation...

Low cost GPS/INS sensor fusion system for UAV navigation
2003 Edition, Volume 2, January 1, 2003 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The performance of UAV is dependent greatly upon onboard sensors due to its characteristics of unmanned operated vehicle. The navigation sensor, which informs where UAV is flying, also is one of those onboard sensors. Small UAV needs the navigation system with the compact, light, cheap and...

A low-cost GPS/INS integration based on UKF and BP neural network
2014 Edition, August 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Nowadays, low-cost Global Positioning System (GPS)/inertial Navigation System (INS) integration is widely used. Numerous techniques based on Kalman Filter (KF) and Artificial Neural Networks (ANNs) are proposed to fuse the GPS and...

Aircraft true heading estimation with low-cost GPS/INS and aerial images
2010 Edition, June 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper investigates the use of aerial images obtained from an airborne downward-looking camera to control error growth in the true heading from a low-cost integrated GPS/INS system. In the proposed approach, aerial images are processed to compute...

IMM-UKF based land-vehicle navigation with low-cost GPS/INS
2010 Edition, June 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The motivation of INS/GPS integration is to develop a navigation system that overcomes the shortcomings of each system. Its implementation is essentially based on the filter techniques and error models of INS. If the model changes with the...

IMM-Based Lane-Change Prediction in Highways With Low-Cost GPS/INS
2009 Edition, Volume 10, March 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The prediction of lane changes has been proven to be useful for collision avoidance support in road vehicles. This paper proposes an interactive multiple model (IMM)-based method for predicting lane changes in highways. The sensor unit consists of a set of low-cost...

Comparison of low-cost GPS/INS sensors for Autonomous Vehicle applications
2008 Edition, May 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Autonomous Vehicle applications (Unmanned Ground Vehicles, Micro-Air Vehicles, UAVpsilas, and Marine Surface Vehicles) all require accurate position and attitude to be effective. Commercial units range in both cost and accuracy, as well as power, size, and weight. With the advent of...

IMM-EKF based Road Vehicle Navigation with Low Cost GPS/INS
2006 Edition, September 1, 2006 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Actual solutions for the road vehicle navigation problem point to the combination of GPS, odometry and inertial sensors. To combine the information coming from these sensors, most of actual researchers rely on the implementation of variations of the Kalman filter (KF) and the extended...

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