This paper focuses on a surveillance mission performed by an autonomous mobile robot in an environment. In this mission, by using flexibility and monitoring function, the Robert is expected to detect as many intruders as possible. However, the robot does not know where and how many environmental intruders are present without the data, estimating an intrusion pattern and detecting unknown intruders is impossible for the robot. By proposing a novel surveillance method this challenges in order to estimate intrusion trend for the robot. For this purpose, Bayes’ rule is basically used. This probabilistic approach allows the robot to express the intruders through existing probability and appearance frequency. The robot is mainly enabled to monitor the places with the intrusion trend in addition to the minor places. Through simulation experiments, the effectiveness of the proposed method for the unknown intruders is shown. Furthermore, an adaptability of the robot based on the probabilistic approach to various kinds of intrusion trends is analyzed.
Surveillance Robot Capturing Intruder Using PIR Sensor
2019-12-16
oai:zenodo.org:3576712
Journal of Remote Sensing GIS & Technology 5(3) 36-40
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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