This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
For mobile robots to be successful, they have to navigate safely in populated and dynamic environments. While recent research has led to a variety of localization methods that can...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
This paper presents a localization system for mobile robots that are able to navigate autonomously in industrial environments like factory and exhibition halls. Previous approache...
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
NASA and USGS are collaborating to produce a global map of Earth using Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus sensor data from the period of 2004 th...
Robert A. Morris, John Gasch, Lina Khatib, Steven ...