场面数字滑行引导系统与车载安全辅助驾驶系统测试数据

基于机场滑行道、跑道、停机位静态经纬度数据提取部分经纬度点数据，结合航班信息、车辆信息生成航空器/车辆仿真轨迹数据、航空器滑行路由数据。使用车载安全辅助驾驶系统终端Pad连接AeroMACS 2.05G+网络后，通过RabbitMQ服务，在本地网络中进行收发得到，包含了测试用的时间戳、目标类型、目标ID等。使用AVIA傲览激光雷达在天津机场引导车上录制的航空器点云图像，涵盖了不同距离、不同角度下对航空器的点云记录，包括了晴天与雨天两个拍摄场景。数据集包含航空器运行轨迹数据、车辆运行轨迹数据、航空器滑行路由数据、用于验证终端与AeroMACS2.05G+通信正常的测试数据，以及雷达扫描过程中每帧机场场面航空器原始点云数据。数据量为660MB。This dataset is developed based on the following workflow: First, partial longitude and latitude point data is extracted from the static longitude and latitude data of airport taxiways, runways and aprons, and combined with flight and vehicle information to generate simulated trajectory data for aircraft/vehicles and aircraft taxiing route data. The data is collected by transmitting and receiving over the local network via the RabbitMQ service after connecting the in-vehicle safety advanced driver assistance system terminal Pad to the AeroMACS 2.0 5G+ network, and includes test-related fields such as timestamp, target type, target ID and other relevant metadata. Additionally, aircraft point cloud data was recorded using an AVIA LiDAR mounted on a marshalling vehicle at Tianjin Airport, covering point cloud recordings of aircraft at varying distances and angles, with two weather scenarios: sunny and rainy days. This dataset contains aircraft operation trajectory data, vehicle operation trajectory data, aircraft taxiing route data, test data for validating normal communication between the terminal and AeroMACS 2.0 5G+, as well as raw point cloud data of airport surface aircraft per frame during the LiDAR scanning process. The total size of the dataset is 660 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含机场场面数字滑行引导系统与车载安全辅助驾驶系统的测试数据，涉及航空器与车辆仿真轨迹、滑行路由、通信测试数据以及激光雷达点云图像，覆盖晴天与雨天场景，总数据量约660MB。数据来源于天津机场的实测与仿真，用于系统验证与研发。