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  Generated synthetic dataset for drone autonomy ML training, including telemetry signals
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  (acceleration, gyro, altitude, velocity, battery, GPS), SLAM (obstacle detection/mapping),
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  and avoidance maneuvers in simulated 3D environments with configurable parameters (complexity,
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- noise, frequency, dynamic obstacles).
 
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  # DETAILS
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  Generated synthetic dataset for drone autonomy ML training, including telemetry signals
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  (acceleration, gyro, altitude, velocity, battery, GPS), SLAM (obstacle detection/mapping),
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  and avoidance maneuvers in simulated 3D environments with configurable parameters (complexity,
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+ noise, frequency, dynamic obstacles). Synthetic drone datasets are generally used to overcome
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+ real-world data limitations for unmanned aerial vehicles (UAVs).
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  # DETAILS
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