反恐侦察示范应用数据集

面向反恐侦察示范应用，构建仿真与实物场景，形成三维场景模型。开展三方测试全流程试验、三方测试旋翼无人机20次侦察试验，完成可疑车辆、人员目标分类与检测、广域搜索与跟踪等功能验证。反恐侦察应用数据集包括仿真场景人员/车辆检测数据、实物场景人员/车辆检测数据、天津临港反恐侦察三维倾斜摄影测量建模数据、无人平台适配与原型系统集成视频数据、三方测试全流程试验场景回放数据/吊舱视频数据、三方测试旋翼无人机20次侦察试验场景回放数据/吊舱视频数据，数据量23.65GB。

For the demonstration application of counter-terrorism reconnaissance, simulation and physical scenarios were constructed, and a 3D scene model was established. Full-process three-party testing experiments and 20 reconnaissance experiments using rotor-wing UAVs in the three-party testing were carried out, and the verification of functions including suspicious vehicle and personnel target classification and detection, wide-area search and tracking was completed. The counter-terrorism reconnaissance application dataset covers the following types of data: simulation scene personnel/vehicle detection data, physical scene personnel/vehicle detection data, 3D oblique photogrammetry modeling data of the Tianjin Lingang counter-terrorism reconnaissance scene, video data for unmanned platform adaptation and prototype system integration, scene playback data and pod video data from the full-process three-party test scenarios, as well as scene playback data and pod video data from the 20 rotor-wing UAV reconnaissance experiments in the three-party testing. The total data volume is 23.65 GB.

搜集汇总

背景与挑战

背景概述

该数据集是面向反恐侦察示范应用的综合性数据集，包含仿真与实物场景的三维模型、人员/车辆检测数据、无人机侦察视频等，数据量达23.65GB，用于验证目标分类、检测和跟踪功能。数据集来源于国家重点研发计划项目，支持反恐侦察技术的研究与开发。