Hybrid urban navigation for smart cities

This paper proposes a design for a hybrid, city-wide urban navigation system for moving agents demanding dedicated navigation support. The system combines GPS and vehicle-to-vehicle communication from an ad-hoc network of parked cars, and RFID from fixed infrastructure-such as smart traffic lights-to enable a safely navigable city. Applications for such a system include high speed drone navigation and directing visually impaired pedestrians.

[1]  Rodrigo H. Ordóñez-Hurtado,et al.  Using stationary vehicles to enhance cooperative positioning in Vehicular Ad-hoc Networks , 2014, 2014 International Conference on Connected Vehicles and Expo (ICCVE).

[2]  Mario Sarcinelli-Filho,et al.  Outdoor waypoint navigation with the AR.Drone quadrotor , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[3]  Robert Shorten,et al.  An assessment on the use of stationary vehicles to support cooperative positioning systems1 , 2018, Int. J. Control.

[4]  Falko Dressler,et al.  IVC in Cities: Signal Attenuation by Buildings and How Parked Cars Can Improve the Situation , 2014, IEEE Transactions on Mobile Computing.

[5]  A. Hallstrom,et al.  Predicting survival from out-of-hospital cardiac arrest: a graphic model. , 1993, Annals of emergency medicine.

[6]  Robert Shorten,et al.  On Source-Term Parameter Estimation for Linear Advection-Diffusion Equations with Uncertain Coefficients , 2016, SIAM J. Sci. Comput..

[7]  Shih-Hau Fang,et al.  The impact of GPS positioning errors on the hop distance in Vehicular Adhoc Networks (VANETs) , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[8]  J. Landt,et al.  The history of RFID , 2005, IEEE Potentials.