Aircraft Ship Integrated Secure and Traverse (ASIST) is a system designed to arrest helicopters safely and efficiently on ships. Originally, a precision Helicopter Position Sensing Equipment (HPSE) tracked and monitored the position of the helicopter relative to the Rapid Securing Device (RSD). However, using the HPSE component was determined to be infeasible in the transition of the ASIST system due to the hardware installation requirements. As a result, sailors track the position of the helicopters with their eyes with no sensor or artificially intelligent decision aid. Manually tracking the helicopter takes additional time and makes recoveries more difficult, especially at high sea states. Performing recoveries without the decision aid leads to higher uncertainty and cognitive load. PETA (Pose Estimation and Tracking for ASIST) is a research effort to create a helicopter tracking system prototype without hardware installation requirements for ASIST system operators. Its overall goal is to improve situational awareness and reduce operator uncertainty with respect to the aircrafts position relative to the RSD, and consequently increase the allowable landing area. The authors produced a prototype system capable of tracking helicopters with respect to the RSD. The software included a helicopter pose estimation component, camera pose estimation component, and a user interface component. PETA demonstrated the potential for state-of-the-art computer vision algorithms Faster R-CNN and HRNet (High-Resolution Network) to be used to estimate the pose of helicopters in real-time, returning ASIST to its originally intended capability. PETA also demonstrated that traditional methods of encoder-decoders could be used to estimate the orientation of the helicopter and could be used to confirm the output from HRNet.

翻译：舰载飞机安全高效拦截与穿越系统（ASIST）是一种旨在舰船上安全高效拦截直升机的系统。最初，精密直升机位置传感设备（HPSE）用于跟踪并监控直升机相对于快速固定装置（RSD）的位置。然而，在ASIST系统升级过程中，由于硬件安装要求，HPSE组件被判定不可行。因此，水手们仅凭肉眼跟踪直升机位置，缺乏传感器或人工智能决策辅助。人工跟踪直升机耗时更长，增加了复飞难度，尤其在恶劣海况下。无决策辅助进行复飞会导致更高的不确定性和认知负荷。PETA（ASIST位姿估计与跟踪）是一项研究计划，旨在为ASIST系统操作员开发无需硬件安装的直升机跟踪系统原型。其总体目标是提升操作员对直升机相对于RSD位置的态势感知能力，并降低其不确定性，从而扩大允许降落区域。作者团队构建了一套可跟踪直升机相对于RSD位置的原型系统，软件包含直升机位姿估计模块、相机位姿估计模块及用户界面模块。PETA验证了最先进的计算机视觉算法Faster R-CNN和HRNet（高分辨率网络）用于实时估计直升机位姿的潜力，使ASIST系统恢复其原始设计功能。同时，PETA还证明传统编码-解码器方法可用于估计直升机姿态，并可作为HRNet输出的验证手段。