Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, and Leonidas Guibas. City-Scale Map Creation and Updating using GPS Collections. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16). ACM, New York, NY, USA, 1465-1474, 2016.

Abstract:

Applications such as autonomous driving or real-time route recommendations require up-to-date and accurate digital maps. However, manually creating and updating such maps is too costly to meet the rising demands. As large collections of GPS trajectories become widely available, constructing and updating maps using such trajectory collections can greatly reduce the cost of such maps. Unfortunately, due to GPS noise and varying trajectory sampling rates, inferring maps from GPS trajectories can be very challenging. In this paper, we present a framework to create up-to-date maps with rich knowledge from GPS trajectory collections. Starting from an unstructured GPS point cloud, we discover road segments using novel graph-based clustering techniques with prior knowledge on road design. Based on road segments, we develop a scale- and orientation-invariant traj-SIFT feature to localize and recognize junctions using a supervised learning framework. Maps with rich knowledge are created based on discovered road segments and junctions. Compared to state-of-the-art methods, our approach can efficiently construct high-quality maps at city scales from large collections of GPS trajectories.

Bibtex: 

@inproceedings{Chen:2016:CMC:2939672.2939833,
 author = {Chen, Chen and Lu, Cewu and Huang, Qixing and Yang, Qiang and Gunopulos, Dimitrios and Guibas, Leonidas},
 title = {City-Scale Map Creation and Updating Using GPS Collections},
 booktitle = {Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 series = {KDD '16},
 year = {2016},
 isbn = {978-1-4503-4232-2},
 location = {San Francisco, California, USA},
 pages = {1465--1474},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2939672.2939833},
 doi = {10.1145/2939672.2939833},
 acmid = {2939833},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {gps trajectories, map construction, traj-sift feature},
}