Mining GPS data for extracting significant places

This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information in a variety of applications such as map building, vehicle tracking and user assistance. In our case, we are interested in obtaining context information as a preliminary step towards improving mining safety. The algorithm developed is validated with experimental data sets obtained from a fleet of haulage vehicles operating in an open pit mine in Western Australia.

• Type: Journal
• Year: 2009
• Where: ICRA
• Authors: Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebot
• Keywords: Context Information, ICRA 2009, Raw Gps Data, Robotics, Valuable Context Information