When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

Helicopter crews are required to carry out a wide range of duties most of which involve operational safety. One particular flight safety problem that has relevance to a variety of different types of rotorcraft is assisting the pilot in obstacle avoidance. Obstacles, in this context, may typically include other aircraft, terrain features, buildings, bridges, overhead cables and poles. The proble...

due to their advantages, omni-directional mobile robots have found many applications especially in robotic soccer competitions. however, omni directional navigation system, omni-vision system and kicking mechanism in such mobile robots have not ever been combined. this situation brings the idea of a robot with no head direction into existence, a comprehensive omni directional mobile robot. such...

-We formalize clustering as a partitioning problem with a user-defined internal clustering criterion and present SINICC, an unbiased, empirical method for comparing internal clustering criteria. An application to multi-sensor fusion is described, where the data set is composed of inexact sensor "reports" pertaining to "objects" in an environment. Given these reports, the objective is to produce...

1 Proc. Fifth International Conference on Information Fusion (Fusion 2002), Annapolis, MD, U.S.A. Abstract Out-of-sequence measurements (OOSMs) arise in a multi-sensor central-tracking system due to communication network delays and varying preprocessing times at the sensor platforms. During the last few years a great deal of research has focussed attention on the OOSM filtering problem. However...

Abstract In this paper, a new multi-sensor calibration approach, called iterative registration and fusion (IRF), is presented. The key idea of this approach is to use surfaces reconstructed from multiple point clouds to enhance the registration accuracy and robustness. It calibrates the relative position and orientation of the spatial coordinate systems among multiple sensors by iteratively reg...

From 30.07.06 to 04.08.06, the Dagstuhl Seminar 06311 Sensor Data and Information Fusion in Computer Vision and Medicine in the International Conference and Research Center (IBFI), Schloss Dagstuhl. Sensor data fusion is of increasing importance for many research elds and applications. Multi-modal imaging is routine in medicine, and in robitics it is common to use multi-sensor data fusion. Duri...