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In the case of aggregation, the robots are equipped with one binary sensor, which informs them whether or not there is another robot in their line of sight.
The binary sensor used only lets a robot know whether or not there is another robot in its direct line of sight.
We build on the sparse nature of the binary sensor failure signals to propose a novel distributed detection algorithm based on gossip mechanisms and on Group Testing (GT), where the latter has been used so far in centralized detection problems.
Therefore, the camera sensor and mobile sensor could be activated by binary sensor which are deployed in the belt region.
This problem is nontrivial since normally a sensor (e.g., binary sensor) individually cannot know an intruder's movement direction when this intruder is in its sensing region.
CRPF has been combined with APF in [45] for target tracking in binary sensor networks without probabilistic assumptions on the model.
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Meanwhile, not only the binary sensors but also camera sensors and mobile sensors are needed for intrusion detection.To minimize the uncovered time, a joint analysis of the coordination between adjacent camera sensors are required to determine the initial phase of the camera directions and camera rotating velocity.
Gauci M, Chen J, Dodd TJ, Groß R. Evolving Aggregation Behaviors in Multi-Robot Systems with Binary Sensors.
It is a bit-oriented communication link designed to connect binary sensors and actuators.
AS-i is a bit-oriented communication link, designed to connect binary sensors and actuators.
Based on these functions, we developed two low-level applications: (1) particle filter-based human localization and tracking using wearable motion sensors and distributed binary sensors; (2) Dynamic Bayesian Network-based human activity recognition using microphones and distributed binary sensors.
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