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This paper describes a robust approach which improves the precision of vehicle localization in complex urban environments by fusing data from GPS, gyroscope and velocity sensors. In this method, we apply Kalman filter to estimate the position of the vehicle. Compared with other fusion based localization approaches, we process the data in a public coordinate system, called Earth Centred Earth Fixed...
The work demonstrates how the methods of Active Sensing (AS), based on the theory of optimal experimental design, can be applied for a location estimation scenario. The simulated problem consists of several mobile and fixed nodes where each mobile unit is equipped with a gyroscope and an incremental path encoder and is capable to make a selective range measurement to one of several fixed anchors as...
Recently, the UAV has become the research focus at home and abroad. this paper puts forward a new aircraft type: double ducted tilting Subminiature UAV system, and carries out the research of the navigation system for this suav. This paper puts forward to apply the gyroscope, accelerometer and magnetometer, using kalman filtering algorithm to establish the optimal attitude matrix, namely the best...
This paper describes a method to integrate a hardware device into a modular robot control and simulation software and introduces sensor fusion to investigate the current set of control parameters. As a highlevel remote unit for modulation of control algorithms the Wiimote and the usage of its sensors will be introduced. Sensor fusion of the Wiimote's sensors allows to create a human-robot interaction...
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