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An enhanced low-cost 2D vehicular navigation solution is described, which involves a reduced inertial sensor system (RISS) and a global positioning system (GPS). Micro-electro-mechanical-system based inertial sensors are used in the research owing to their low cost, low power consumption and small size. To improve the overall accuracy even in GPS-denied environments, fast orthogonal search (FOS) is...
This paper presents a design methodology for the implementation of GPS/INS navigation system on Field Programmable Gate Arrays (FPGA). The method proposed in this research is examined using data from three-axis accelerometers and gyroscopes integrated with GPS for a road test experiment in a land vehicle. The designs are described in software which is executed on an embedded microprocessor. Results...
Global Positioning System (GPS) is currently the common solution for land vehicle positioning. However, GPS signals may suffer from blockage in urban canyons and tunnels, and the positioning information provided is interrupted. One solution to have continuous vehicle positioning is to integrate GPS with an inertial measurement unit (IMU) and the navigation solution is achieved using an estimation...
This paper demonstrates a low cost navigation solution that can efficiently work, in real-time, in denied GPS environment. It explores a reduced inertial sensor system (RISS) involving single-axis gyroscope and two-axis accelerometers together with a speed sensor to provide full navigation solution in denied GPS environments. With the assumption that the vehicle mostly stay in the horizontal plane,...
The last two decades have witnessed an increasing trend in integrating different navigation systems to overcome the limitations of the stand-alone operation of such systems. For instance, GPS is usually combined with Inertial Navigation System (INS) in several navigation applications. Most of the INS/GPS integration techniques relied on Kalman filtering (KF). Recently, artificial intelligence based...
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