Abstract
Future distributed sensor fusion applications will require efficient methods of information management such as Cloud computing. Using a server-based cloud-enabled software architecture would increase performance over hardware constraints (e.g., power, memory, and processors). In this paper, we propose a comprehensive framework for information fusion demonstrated for Cloud Robotics, which possesses user favorable features such as good scalability and elasticity. Robots are connected together to form a networked robotic system that is able to accomplish more computationally intensive tasks. Supported by the emerging Cloud computing technology, cloud-enabled robotic systems (CERS) provide even more powerful capabilities to users, yet keeping the simplicity of a set of distributed robots. Through an experimental study, we evaluate the memory, speed, and processors needed for a video tracking application.
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Liu, B., Chen, Y., Blasch, E., Pham, K., Shen, D., Chen, G. (2014). A Holistic Cloud-Enabled Robotics System for Real-Time Video Tracking Application. In: Park, J., Stojmenovic, I., Choi, M., Xhafa, F. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40861-8_64
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DOI: https://doi.org/10.1007/978-3-642-40861-8_64
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