基于多摄像机的航空器滑行冲突检测研究

Research on Aircraft Taxi Conflict Detecting Based on Multi Camera

摘要:

对机场场面航空器滑行冲突检测进行了研究,分析了基于多摄像机的航空器滑行冲突检测流程,基于图像识别和目标跟踪技术,提取航空器的滑行轨迹,提出了基于DCPA(distance of closest point of approach)和TCPA(time of closet point of approach)的滑行冲突检测模型,开发了基于多摄像机的航空器滑行冲突检测原型系统并应用于西南某通航机场；实验结果表明,基于多摄像机视频目标跟踪和冲突检测模型可有效地检测机场场面航空器的滑行冲突,可作为中小机场主要监视手段以及大型机场场监雷达系统的辅助,防止航空器机场滑行冲突,提高机场场面运行安全和效率。

Abstract:

Aircraft taxi conflicts detecting procedure based on multi camera was discussed in this paper. By using image recognition and target tracking, the taxi tracks of aircraft were extracted. And conflicts detecting model based on DCPA and TCPA was proposed. And the prototype system was developed and applied into one General Aviation Airport for the conflict detecting, which showed that aircraft conflict was effectively detected by this model and approach. Multi camera can be used as the main surveillance approach in medium and small-sized airport and auxiliary means for ASR (Aerodrome Surveillance Radar) in large airport, to prevent aircraft from taxi conflict on airport and enhance the safety and efficiency of airport ground operation.