Implementation of Pedestrian Path Navigation Algorithm Based on "We-Map" Platform

Jian Zhang,Haowen Yan

doi:10.5194/ica-abs-1-428-2019

Abstract

Abstract. In order to adapt to the information needs of the we media era, Haowen Yan and other scholars proposed a "grassroots" map for the civilian population – "We-Map". The mathematical foundations such as accuracy are not high, and the producers do not need to undergo strict professional training. Map users can participate in map production at any time, and can easily and quickly communicate and apply on personal electronic devices (such as computers and mobile phones). In the We-Map platform, it uses the Google Map SDK and XML technologies to implement the basic functions of the mobile platform-based We-Map application, including map editing (copy, rotate, zoom, pan, line drawing, coloring, etc.), path navigation, Real-time location, information query and We- Map storage, transmission and distribution. In this paper, we study and implement a landmark-based pedestrian path navigation algorithm, which is added to the We-Map platform for auxiliary navigation of pedestrian paths.

Highlights

In order to adapt to the information needs of the we media era, Haowen Yan and other scholars proposed a "grassroots" map for the civilian population---"We-Map"
The pedestrian navigation system studied in this paper consists of electronic maps, spatial positioning, path planning and path guidance
In the electronic map and spatial positioning module, using Google map as the carrier, and based on the satellite positioning, combined with the surrounding landmarks to confirm, to achieve accurate positioning, a digital model that conforms to pedestrian spatial cognition is established

Summary

Introduction

In order to adapt to the information needs of the we media era, Haowen Yan and other scholars proposed a "grassroots" map for the civilian population---"We-Map". The pedestrian navigation system studied in this paper consists of electronic maps, spatial positioning, path planning and path guidance.

Results

Conclusion