Sentence examples for sensor combinations from inspiring English sources

With respect to a user-friendly calibration of different types of sensors, multi-buffer solutions have been developed for various sensor combinations.

Further studies are required to enable application of DBUX in other regions, and for other landscapes with different satellite sensor combinations.

Multivariate adaptive regression splines models were parameterised for predictions of soil organic carbon (SOC), cation exchange capacity (CEC), phosphorus (P) and depth of the A horizon in ADEs from sensor data – both from individual sensors and in sensor combinations.

To obtain the best estimates of Position, Velocity and Attitude (PVA), different sensor combinations are analysed and dynamic Boolean Decision Logics (BDL) are implemented for data selection before the centralised data fusion is accomplished.

The complete optimization of such camera-chemical sensor combinations will require structuring the optical properties of the nanosensor material to best match the optical response of the camera, optimizing the illuminant, and development of efficient and selective data analysis algorithms.

Such discrepancies are potentially due to methodological variation (Ahumada & Krebs, 2000; Essock, Sinai, McCarley, Krebs, & DeFord, 1999; Steele & Perconti, 1997), differences in task descriptions (Krebs & Sinai, 2002; McCarley & Krebs, 2000), and variation in fusion algorithms or sensor combinations (McCarley & Krebs, 2000; Neriani et al., 2008).

The final methodology is tested in outdoor environments with variation in the light conditions and robot trajectories producing results that illustrate that the additional use of a thermal sensor improves the accuracy of landmark detection and that the sensor handover is viable for solving the SLAM problem using this sensor combination.

It reveals that the combination of magnetic field and accelerometer is the most popular sensor combination among apps.

That is, the choice of single-band sensor combination influences the variation in efficiencies across image type.

We have shown ways in which human efficiencies can be compared over changes to imagery in sensor combination, fusion algorithm, and comparison of fused and unfused images.

Additionally, efficiency data were shown to fluctuate based on sensor combination instead of fusion algorithm, suggesting the need for examining multiple factors to determine the success of image fusion.