Title | ||
---|---|---|
A Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching. |
Abstract | ||
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This paper presents a low-cost real-time lane-determination system that fuses micro-electromechanical systems inertial sensors (accelerometers and gyroscopes), global navigation satellite system (GNSS), and commercially available road network maps. The system can be used for intelligent transportation systems, telematics applications, and autonomous driving. The system does not depend on visual ma... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TITS.2017.2672541 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Global Positioning System,Hidden Markov models,Roads,Sensor fusion,Kalman filters | Computer vision,Extended Kalman filter,Simulation,Kalman filter,Sensor fusion,Artificial intelligence,Inertial measurement unit,Global Positioning System,GNSS applications,Intelligent transportation system,Engineering,Map matching | Journal |
Volume | Issue | ISSN |
18 | 11 | 1524-9050 |
Citations | PageRank | References |
4 | 0.48 | 12 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Maher Atia | 1 | 6 | 0.92 |
Allaa R. Hilal | 2 | 4 | 1.50 |
Clive Stellings | 3 | 4 | 0.48 |
Eric Hartwell | 4 | 4 | 0.48 |
Jason Toonstra | 5 | 4 | 0.48 |
William B. Miners | 6 | 4 | 0.48 |
O. Basir | 7 | 45 | 4.51 |