The invention discloses an unmanned aerial vehicle electric power inspection multi-modal data fusion system and an unmanned aerial vehicle, relates to the technical field of unmanned aerial vehicle control, and effectively improves the accuracy and robustness of multi-modal sensor data fusion through dynamic weight calculation and adaptive adjustment. In the prior art, data fusion of a sensor is mostly in a static mode, and the weight cannot be adjusted according to environmental changes once being set, so that a system possibly faces the problem that the fusion data precision is reduced under a complex or unpredictable environmental condition. By introducing the dynamic weight calculation based on the large model, the weight can change along with the real-time quality of the sensor data, the optimal fusion effect of the sensor data in different environments is ensured, and the flight precision and stability of the unmanned aerial vehicle are further remarkably improved.
本发明公开了一种无人机电力巡检多模态数据融合系统及无人机,涉及无人机控制技术领域,该系统通过动态权重的计算和自适应调整,有效地提高了多模态传感器数据融合的准确性和鲁棒性。在现有技术中,传感器的数据融合多为静态模式,权重一经设定无法根据环境变化进行调整,这使得系统在复杂或不可预见的环境条件下可能面临融合数据精度下降的问题。通过引入基于大模型的动态权重计算,使得权重能够随传感器数据的实时质量而变化,确保了传感器数据在不同环境中的最优融合效果,进而显著提升了无人机的飞行精度和稳定性。
Unmanned aerial vehicle electric power inspection multi-modal data fusion system and unmanned aerial vehicle
一种无人机电力巡检多模态数据融合系统及无人机
10.06.2025
Patent
Elektronische Ressource
Chinesisch