Road Maps

Maps of roads are expensive to build and maintain. Although modern cartography involves using satellite and aerial imagery along with GPS traces, using this data to update maps involves having humans analyze the data in a time consuming process, and thus maps of rapidly growing cities (where infrastructure is constantly under construction) are still often inaccurate and incomplete outside the urban core. Current approaches to map inference, however, do not provide consistent results under different levels of GPS noise and sparsity, and almost always fail to capture complex road features such as highway intersections.

Our goal it to increase the accuracy of automatic map inference systems to make them practical, and then apply them to improve the OpenStreetMap dataset.



PhD Students: