抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Scientific Research (C), Fund Type: -, Overall Grant Amount: - (direct: 3500000, indirect: 1050000)
A pedestrian positioning method is studied, in which pedestrians use nearby vehicles and roadside units as anchors, besides GPS satellites.
The channel state information between vehicles/roadside-units and a pedestrian is obtained, and a non-linear regression function is learned for distance estimation. In the position computing, weighting is performed by considering the error characteristics of distances. The impact of time resolution of the receiver is also evaluated. In addition, we proposed a method for high precision pedestrian positioning by fusing the pedestrian's own moving speed, the distance between the pedestrian and vehicles, roadside-units, satellites by using a Kalman filter. Ray-tracing simulations have shown that in urban environments, the proposed method can significantly reduce the positioning error, compared to the present GPS positioning techniques.