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№ CN122946717AInvention

Unknown

一种面向多源探测数据融合的自适应无人机轨迹预测方法

本发明涉及无人机轨迹预测技术领域，具体涉及一种面向多源探测数据融合的自适应无人机轨迹预测方法；所述轨迹预测方法具体涉及：应对不同的数据类型，分别对应构建：二维及三维LSTM预测模型；依次通过“相同的数据预处理流程”以及“相同的轨迹有效点数判定‑执行流程”，结合“时序注意力机制、时序自适应加权损失函数、二维及三维LSTM预测模型”对一类及二类数据进行处理，以确保：两类数据所对应的轨迹序列预测数据在执行“涉及探测精度、更新频率、数据置信度的显著互补差异”之前，均符合“统一的融合标准”；基于前述，本方法能够基于“数据采集频率及输出时间不同的数据”进行推演预测，以获取：对应于融合时刻的轨迹序列融合预测数据。

❖合肥国先控股有限公司王育刚; 孔智; 许刚; 王玉中; 王鹏; 蒋俊儒; 李鹏; 蒋莎; 尹采奕; 李诚Oct 20, 2026§ 1/8 ClaimsG06F 18/20 (2023.01), G06F 18/214 (2023.01), G06F 18/10 (2023.01) +4

№ CN122934073AInvention

Unknown

面向复杂天空背景的无人机光电跟踪动态曝光方法、系统、终端及介质

本发明公开了面向复杂天空背景的无人机光电跟踪动态曝光方法、系统、终端及介质，涉及无人机技术领域，其技术方案要点是：获取目标基准框，计算目标平均亮度值；以目标基准框为中心，外扩生成动态测光包络区；计算全局平均亮度值；计算得到光照反差比；在光照反差比大于第一预设阈值时，触发强逆光强制补偿模式；以前馈预测测光区作为唯一测光区域进行曝光控制，使得相机的曝光参数仅响应前馈预测测光区内的亮度变化。本发明能够确保即使在直面太阳或明亮云层的极端逆光条件下，无人机目标也能被持续、清晰地成像，而非丢失所有纹理特征的黑色剪影，提升了AI视觉跟踪系统在复杂光照环境下的鲁棒性与生存能力。

❖合肥国先控股有限公司孟理理; 王玉中; 许刚; 孔智; 尹采奕; 王育刚; 王鹏; 蒋俊儒; 李鹏; 蒋莎Oct 16, 2026§ 4/10 ClaimsH04N 23/71 (2023.01), H04N 23/73 (2023.01), H04N 23/745 (2023.01) +1