WiP Abstract: Noise Adaptive System using Abstract and Probabilistic Model

نویسندگان

  • Minsu Jo
  • Junkil Park
  • Youngmi Baek
  • Sang Hyuk Son
  • Insup Lee
چکیده

In order to design a resilient system with multiple sensors, one of the important things we should consider is the sensor fusion model. Two main classes of sensor models are usually considered: probabilistic [1] and abstract [2]. The difference between two models is the assumption of noise distribution. In the former, it assumes the pre-designed noise distributions (e.g., Gaussian). In the later, it less assumes noise distribution. In the typical environment, the sensor noise usually follows a certain noise distribution. However, the former model might not work well in practice under the certain environment as a large number of noise factors can easily affects the source of noise. Therefore, we propose a noise adaptive system which exploits the process of switching between the abstract and probabilistic model according to the measurement distributions.

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تاریخ انتشار 2016