Markov-Based Lane Positioning Using Intervehicle Communication

The majority of today's navigation techniques for intelligent transportation systems use global positioning systems (GPS) that can provide position information with bounded errors. However, due to the low accuracy that is experienced with standard GPS, it is difficult to determine a vehicle...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2007-12, Vol.8 (4), p.641-650
Main Authors: Thanh-Son Dao, Leung, K.Y.K., Clark, C.M., Huissoon, J.P.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Geographic information systems
Global Positioning System
Global Positioning System (GPS)
Ground, air and sea transportation, marine construction
Intelligent transportation systems
lane determination
lane-level positioning
Lanes
Markov localization
Navigation
Road safety
Road transportation
Road vehicles
Robotics
Robustness
Satellite navigation systems
Sensor systems
Traffic control
Transportation systems
vehicle navigation
Vehicle safety
Vehicles
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Summary:The majority of today's navigation techniques for intelligent transportation systems use global positioning systems (GPS) that can provide position information with bounded errors. However, due to the low accuracy that is experienced with standard GPS, it is difficult to determine a vehicle's position at lane level. Using a Markov-based approach based on sharing information among a group of vehicles that are traveling within communication range, the lane positions of vehicles can be found. The algorithm's effectiveness is shown in both simulations and experiments with real data.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2007.908574