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Nowadays, multiple sensors are widely used in various robot systems such as unmanned ground and aerial vehicles.
But, whenever multiple sensors are combined, one also has to deal with additional calibration issues, which is frequently overlooked.
In addition, multiple sensors are needed in 70.5% of all cases when the easier to detect spyware are excluded.
In the first method, multiple sensors are placed in the working environment, and the robot receives data from these sensors.
The third configuration ("Configuration C") is representative of a generic sensing scheme where multiple sensors are networked and distributed all over the body without local clustering.
In WSNs, the basic operation is data fusion, where data from multiple sensors are integrated together to form a single meaningful result [1].
Similar(50)
The classification of uterine EMG signals recorded by using multiple sensors was addressed.
The CRBs on the location parameters using multiple sensors were subsequently derived in [7].
A comparison of six different systems, which employ single or multiple sensors, is presented.
The extrinsic calibration of multiple sensors is to identify the rigid transformations among these sensor coordinate systems.
A second advantage gained by using multiple sensors is improved observability of the studied physiological system [35].
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