Shared bicycle induction positioning system and method based on unmanned aerial vehicle
A shared bicycle and induction positioning technology, applied in satellite radio beacon positioning systems, radio wave measurement systems, motor vehicles, etc., can solve the problems of human resource consumption and inaccurate positioning, and achieve the effect of alleviating inaccurate positioning.
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[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0030] The present invention proposes a shared bicycle induction positioning system based on drones, such as figure 1 As shown, it includes a shared bicycle module 1 and an unmanned aerial vehicle module 2, and the shared bicycle module 1 communicates with the unmanned aerial vehicle module 2 through a wireless network. The shared bicycle module 1 and the UAV module 2 both use the Kalman filter algorithm for GPS positioning and real-time location determination. The Kalman filter algorithm estimates the position and clock error of the receiver through the pseudorange, and the Kalman filter algorithm effectively avoids the filter divergence problem caused by the initial value of the filter, the variance of the system noise and the variance of the measurement noise.
[0031] The shared bicycle module 1 includes a bicycle voice prompt module 3 , a bicycle signal...
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