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IMU标定(IMU Calibration): 实现了温度补偿和偏差校正算法,以减少IMU传感器的噪声和系统误差;多传感器时间同步(Multi-Sensor Time Synchronization): 设计了一种时间同步方案,确保了不同传感器数据在时间轴上的一致性;机器学习辅助的传感器标定(Machine Learning-Assisted Sensor Calibration): 利用机器学习技术优化了传感器标定过程,提高了标定的自动化水平和准确性;在线自适应标定(Online Adaptive Calibration): 实现了一种在线标定算法,能够动态调整传感器参数以适应环境变化。

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