Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Laser-based people-following for human-augmented mapping of indoor environments
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Behavior-modulation technique in mobile robotics using fuzzy discrete event system
IEEE Transactions on Robotics
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
New approach to intelligent control systems with self-exploring process
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Sensor scheduling in mobile robots using incomplete information via Min-Conflict with Happiness
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy behavior-based control of mobile robots
IEEE Transactions on Fuzzy Systems
Decentralized task allocation for surveillance systems with critical tasks
Robotics and Autonomous Systems
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An autonomous mobile robotic system for surveillance of indoor environments is presented. Applications of the proposed system include surveillance of large environments such as airports, museums and warehouses. A multi-layer decision scheme controls different surveillance tasks. In particular, this paper focuses on two main functions: building an augmented map of the environment and monitoring specific areas of interest to detect unexpected changes based on visual and laser data. The effectiveness of the system is demonstrated through experimental tests. The results are promising, proving the proposed methods to be successful in detecting either new or removed objects in the surveyed scene. It is also shown that the robotic surveillance system is able to address a number of specific problems related to environment mapping, autonomous navigation and scene processing, and could be effectively employed for real-world surveillance applications.