GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
نویسندگان
چکیده
This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS system in urban areas. Data fusion using a Kalman filter and map matching are effective approaches to improve the performance of navigation system applications based on GPS/MEMS IMUs. The study considers the curve-to-curve matching algorithm after Kalman filtering to correct mismatch and eliminate redundancy. By applying data fusion and map matching, the study easily accomplished mapping of a GPS/INS trajectory onto the road network. The results demonstrate the effectiveness of the algorithms in controlling the INS drift error and indicate the potential of low-cost MEMS IMUs in navigation applications.
منابع مشابه
GPS/INS Integration for Vehicle Navigation based on INS Error Analysis in Kalman Filtering
The Global Positioning System (GPS) and an Inertial Navigation System (INS) are two basic navigation systems. Due to their complementary characters in many aspects, a GPS/INS integrated navigation system has been a hot research topic in the recent decade. The Micro Electrical Mechanical Sensors (MEMS) successfully solved the problems of price, size and weight with the traditional INS. Therefore...
متن کاملA Hierarchical SLAM/GPS/INS Sensor Fusion with WLFP for Flying Robo-SAR's Navigation
In this paper, we present the results of a hierarchical SLAM/GPS/INS/WLFP sensor fusion to be used in navigation system devices. Due to low quality of the inertial sensors, even a short-term GPS failure can lower the integrated navigation performance significantly. In addition, in GPS denied environments, most navigation systems need a separate assisting resource, in order to increase the avail...
متن کاملRecent Advances in Accuracy Enhancement of MEMS-based IMUs for Navigation Applications
Many land vehicles are presently equipped with on-board navigation systems that currently rely entirely on the availability and accuracy of GPS. The accessibility of low cost MEMS-based inertial measurement units (IMU) can be used to provide precise position and velocity data for GPS signal acquisition and reacquisition after outages. This reduces the time and the search domain required for det...
متن کاملA Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors
Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, ...
متن کاملContinuous High Precision Navigation Using MEMS Inertial Sensors Aided RTK GPS for Mobile Mapping Applications
A modern mobile mapping system needs a navigation component to provide accurate geo-referencing to the imaging sensors. To achieve centimetre-level positioning accuracy RTK-GPS is a natural choice. However, RTK-GPS in urban areas suffers from frequent outages and accuracy degradation. Integration of an INS and GPS can bridge the GPS outages and maintain accuracy over short time periods. This pa...
متن کامل