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Networks of environmental sensors are playing an increasingly important role in scientific studies of the ocean, rivers, and the atmosphere. Robotic sensors can improve the efficiency of data collection, adapt to changes in the environment, and provide a robust response to individual failures. Their operation must be driven by statistically-aware algorithms that make the most of the network capabilities...
Visual and inertial sensors, in combination, are well-suited for many robot navigation and mapping tasks. However, correct data fusion, and hence overall system performance, depends on accurate calibration of the 6-DOF transform between the sensors (one or more camera(s) and an inertial measurement unit). Obtaining this calibration information is typically difficult and time-consuming. In this paper,...
In order to improve the accuracy and reliability of the measurement system, data fusion is frequently used in an autonomous robot to fuse multi-sensor information of measurement system. Several kinds of methods of multi-sensor data fusion are analyzed. Kalman filter is applied in an underwater autonomous robot to fuse redundant information. The autonomous robot is designed to dig hole in the mud underwater...
The accurate location is a basic demand for autonomous robot. The location methods of mobile robot can be divided into 2 sorts, namely, absolute location and relative location. Data fusion methods are widely used in autonomous robotspsila measurement system in order to acquire more comprehensive and more exact information. Locaton information from several sensors of different location method can be...
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