Augmented Kalman Filter and Map Matching for 3D RISS/GPS Integration for Land Vehicles
Open Access
- 13 February 2012
- journal article
- research article
- Published by Hindawi Limited in International Journal of Navigation and Observation
- Vol. 2012, 1-16
- https://doi.org/10.1155/2012/576807
Abstract
Owing to their complimentary characteristics, global positioning system (GPS) and inertial navigation system (INS) are integrated, traditionally through Kalman filter (KF), to obtain improved navigational solution. To reduce the overall cost of the system, microelectromechanical system- (MEMS-) based INS is utilized. One of the approaches is to reduce the number of low-cost inertial sensors, decreasing their error contribution which leads to a reduced inertial sensor system (RISS). This paper uses KF to integrate GPS and 3D RISS in a loosely coupled fashion to enhance navigational solution while further improvement is achieved by augmenting it with map matching (MM). The 3D RISS consists of only one gyroscope and two accelerometers along with the vehicle’s built-in odometer. MM limits the error growth during GPS outages by restricting the predicted positions to the road networks. The performance of proposed method is compared with KF-only 3D RISS/GPS integration to demonstrate the efficacy of the proposed technique.Keywords
This publication has 10 references indexed in Scilit:
- Enhanced MEMS-IMU/odometer/GPS integration using mixture particle filterGPS Solutions, 2010
- Low-Cost Three-Dimensional Navigation Solution for RISS/GPS Integration Using Mixture Particle FilterIEEE Transactions on Vehicular Technology, 2009
- Experimental Results on an Integrated GPS and Multisensor System for Land Vehicle PositioningInternational Journal of Navigation and Observation, 2009
- Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation ApplicationsIEEE Transactions on Vehicular Technology, 2008
- Adaptive Fuzzy Prediction of Low-Cost Inertial-Based Positioning ErrorsIEEE Transactions on Fuzzy Systems, 2007
- Sensor Integration for Satellite-Based Vehicular Navigation Using Neural NetworksIEEE Transactions on Neural Networks, 2007
- The Utilization of Artificial Neural Networks for Multisensor System Integration in Navigation and Positioning InstrumentsIEEE Transactions on Instrumentation and Measurement, 2006
- A new weight updating method for INS/GPS integration architectures based on neural networksMeasurement Science and Technology, 2004
- Autonomous vehicle positioning with gps in urban canyon environmentsIEEE Transactions on Robotics and Automation, 2003
- Some map matching algorithms for personal navigation assistantsTransportation Research Part C: Emerging Technologies, 2000