Positioning Systems in Intelligent Transportation Systems
Positioning Systems in Intelligent Transportation Systems
Fusion of Map and Sensor Data in a Modern Car Navigation System
Journal of VLSI Signal Processing Systems
Global Positioning Systems, Inertial Navigation, and Integration
Global Positioning Systems, Inertial Navigation, and Integration
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Neural Processing Letters
A particle filtering approach to change detection for nonlinear systems
EURASIP Journal on Applied Signal Processing
Real-time implementation of a GIS-based localization system for intelligent vehicles
EURASIP Journal on Embedded Systems
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
Complexity analysis of the marginalized particle filter
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Marginalized particle filters for mixed linear/nonlinear state-space models
IEEE Transactions on Signal Processing
Lane keeping based on location technology
IEEE Transactions on Intelligent Transportation Systems
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Road Selection Using Multicriteria Fusion for the Road-Matching Problem
IEEE Transactions on Intelligent Transportation Systems
High-Integrity IMM-EKF-Based Road Vehicle Navigation With Low-Cost GPS/SBAS/INS
IEEE Transactions on Intelligent Transportation Systems
Approximate nonlinear filtering and its application in navigation
Automatica (Journal of IFAC)
Multi-sensor optimal information fusion Kalman filter
Automatica (Journal of IFAC)
Sensor Integration for Satellite-Based Vehicular Navigation Using Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Intelligent Transportation Systems
AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Intervehicle-communication-assisted localization
IEEE Transactions on Intelligent Transportation Systems
Modeling and algorithms of GPS data reduction for the Qinghai-Tibet railway
IEEE Transactions on Intelligent Transportation Systems
Modeling the stochastic drift of a MEMS-based gyroscope in gyro/odometer/GPS integrated navigation
IEEE Transactions on Intelligent Transportation Systems
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
AutoWitness: Locating and tracking stolen property while tolerating GPS and radio outages
ACM Transactions on Sensor Networks (TOSN)
Improving navigation support by taking care of drivers' situational needs
Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Evaluation of fine-granular GPS tracking on smartphones
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Distributed wireless sensing-based routing and adaptive least-travel-time navigation in VANET
International Journal of Ad Hoc and Ubiquitous Computing
Modeling the impact of observation conditions on localization systems
Information Fusion
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In-car positioning and navigation has been a killer application for Global Positioning System (GPS) receivers, and a variety of electronics for consumers and professionals have been launched on a large scale. Positioning technologies based on stand-alone GPS receivers are vulnerable and, thus, have to be supported by additional information sources to obtain the desired accuracy, integrity, availability, and continuity of service. A survey of the information sources and information fusion technologies used in current in-car navigation systems is presented. The pros and cons of the four commonly used information sources, namely, 1) receivers for radio-based positioning using satellites, 2) vehicle motion sensors, 3) vehicle models, and 4) digital map information, are described. Common filters to combine the information from the various sources are discussed. The expansion of the number of satellites and the number of satellite systems, with their usage of available radio spectrum, is an enabler for further development, in combination with the rapid development of microelectromechanical inertial sensors and refined digital maps.