Intervehicle-communication-assisted localization
IEEE Transactions on Intelligent Transportation Systems
Cooperative Enhancement of Position Accuracy of Unmanned Aerial Vehicles
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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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.