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Autopilot Design
Sensor Fusion
Simulation
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Services
Sensor Fusion
Description
Sensor Fusion is a method for conveniently integrating data provided by various sensors, in order to
obtain the best estimate for a dynamic system's states. Sensor fusion algorithms are particularly useful in low-cost UAV applications, where acceptable performance and reliability is desired, given a limited set of inexpensive sensors.
Unmanned Dynamics provides expertise in the area of sensor fusion algorithm design and implementation for UAV applications by making
use of in-house developed and validated Navigation Kalman Filters (written in C for portability and speed).
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For UAV applications the sensor fusion system can provide:
Filtered high-rate navigation and control data for increased performance;
Estimation of the flight parameters which are not measured directly (i.e. attitude angles, angle of attack, sideslip);
Detection of significant changes in aircraft dynamics (i.e. icing, airframe damage);
The ability to detect sensor failures and to replace failed sensor outputs with estimates (graceful degradation);
Detection of GPS spoofing and ability to navigate without GPS measurements in this case.
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Key Features |
- Improved estimation for a dynamics system's states
- Estimation of vehicle parameters in the presence of sensor
noise and/or sensor failures
- High-accuracy nonlinear estimation techniques Guidance, navigation and control solutions for autonomous vehicles
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