Blaer Paul S. author Columbia University. Computer Science Allen Peter K. author Columbia University. Computer Science Columbia University. Computer Science originator text Articles 2002 English In this paper we present a system for topologically localizing a mobile robot using color histogram matching of omnidirectional images. The system is intended for use as a navigational tool for the Autonomous Vehicle for Exploration and Navigation of Urban Environments (AVENUE) mobile robot. Our method makes use of omnidirectional images which are acquired from the robot's on-board camera. The method is fast and rotation invariant. Our tests have indicated that normalized color histograms are best for an outdoor environment while normalization is not required for indoor work. The system quickly narrows down the robot's location to one or two regions within the much larger test environment. Using this regional localization information, other vision systems that we have developed can further localize the robot. Robotics Piscataway, N.J. IEEE 2002 1031 1036 http://dx.doi.org/10.1109/ROBOT.2002.1013491 http://hdl.handle.net/10022/AC:P:15191 NNC NNC 2012-11-05 13:13:11 -0500 2012-11-12 10:17:35 -0500 9193 eng