الصفحة 1
الصفحة 1
Intelligent Mobile Robot Navigation
the book spans across different domains ranging from mobile robots to intelligent transportation systems, from automatic control to artificial intelligence.
Dynamical Vision ; ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers
Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a trafic scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, fire, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol.
Bluetooth based indoor location positioning system for mobile robot navigation
Positioning objects has been an important topic since it’s needed to locate people, guide them to a certain place, and assist companies and organizations with their assets management. Great applicational opportunities emerge based on the inquiry of Received Signal Strength Indicator (RSSI). In this research, a positioning system using Bluetooth RSSI is proposed for indoor applications. First, RSSI values are inquired multiple times and the average is taken at multiple points of different distances from the transmitters. Then the distance is determined by the variations of RSSI values respectively to distance variations. Finally, a triangulation algorithm is used to calculate the current location of the receiver.
Autonomous Navigation in Dynamic Environments
The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions.Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.
Advances in Brain, Vision, and Artificial Intelligence ; 2nd International Symposium, BVAI 2007, Naples, Italy, October 10-12, 2007, Proceedings
This book address the following main topics: Basic Models in Visual Sciences, Cortical Mechanism of Vision, Color Processing in Natural Vision, Action Oriented Vision, Visual Recognition and Attentive Modulation, Biometric Recognition, Image Segmentation and Recognition, Disparity Calculation and Noise Analysis, Signal Identification in Neural Models, Natural and Artificial Representation Issues in Artificial Intelligence, Meaning-Interaction-Emotion, Robot Navigation and Control.
