Concatenating Road Take Me Home: Indoor Navigation Without Infrastructure Support

摘要

Though outdoor navigation has been used for a long time, indoor navigation has not yet been put into practice. Recent works based on geomagnetic information require a user to follow the exact path of previous users, which limits its applicability. Meanwhile, the optimal navigation path may not be provided given a large number of paths with different sources and destinations. We present MeshMap, an efficient indoor navigation system by merging geomagnetic information of crowdsourcing paths. MeshMap combines geomagnetic information from multiple users' paths to construct a global navigation map. Then, MeshMap supports to find the optimal navigation path on the navigation map. Finally, MeshMap proposes a real-time tracking method to map user's position on the navigation path and provides real-time navigation hints. We implement MeshMap on Android and evaluate its performance in different environments including campus building, parking area and shopping mall. The evaluation results show the effectiveness of MeshMap.