基于视频图像的座舱智能辅助训练系统设计

系统采用数码摄像机实时采集飞机座舱的视频图像,采用图像识别技术识别出用户所关注的座舱设备部件,进而将该设备所对应的相关训练信息显示在头盔显示器上。该系统的设计包括硬件与软件两个部分,硬件设计是集成USB数码摄像机、微型头盔显示器、穿戴式计算机及辅助供电模块为移动式增强现实系统;软件设计主要包括建立座舱仪表模板库、建立辅助信息库及运用基于OpenCV(Intel open source computer vision library)的SURF(speeded up robust features)算法来实现特征匹配。实验证明该系统能够实时为用户提供训练信息,辅助用户完成训练任务。

Design of the intelligent aided training system for cockpit based on video image

The system uses digital camera to collect video images of cockpit real-time,applies the technology of digital image recognition to find which component that the user is interested in,then displays the corresponding training information on HMD(head-mounted-display).The design of this system includes the parts of hardware and software.The design of hardware is integrating USB digital camera,mini HMD,wearable computer and assistant power module into a moveable augmented reality system;the design of software co...