本文针对无人机LiDAR点云地物分类问题，提出了一种基于改进的卷积神经网络模型，通过对四川某地区采集的点云数据进行人工标注，实现了地面、建筑和植被三种地物的点云分类。利用所设计的CNN模型对人工构建的数据集进行模型训练及测试，并不断对模型参数进行优化，总体分类精度 (OA)可达93.6599%。实验结果表明，本文所设计的改进CNN能够自动学习点云的空间分布特征和形状模式，减少了人工特征设计的工作量 ...

城市轨道交通信号系统大部分采用的都是基于通信的列车运行控制系统 (CBTC)。为了保证列车运行的安全性，车地通信必须保证其自身的安全性和可靠性。其中,安全性要求对数据进行加密和保密，同时要保证信息的完整性，要具有抗干扰和抗攻击的能力，要进行身份认证和访问控制。为了满足列车运行的实际要求，车地通信要求有高可靠性，避免因系统出现故障而导致信息传输错误或者信息传输延时，保证低时延，高准确性，抗干扰。因此 ...

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