Title
A Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching.
Abstract
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 Atia160.92
Allaa R. Hilal241.50
Clive Stellings340.48
Eric Hartwell440.48
Jason Toonstra540.48
William B. Miners640.48
O. Basir7454.51