Integrated Planning for Uncertainty-Centric Pilot Assistance Systems

该项目旨在提供一种新的试点援助系统，以提高直升机紧急医疗服务(HEMS)和搜索和救援(SAR)任务的生存能力、速度和安全。它将在部分可观测的情况下改进概率规划的基本算法，以形成飞行员辅助系统的核心技术，该系统考虑了飞行员在典型的HEMS/SAR任务中面临的各种不确定性。它将利用部分可观测马尔可夫决策过程(POMDP)的最新进展，建议健壮、安全和飞行员感知的任务和机动策略，使HEMS/SAR行动对直升机机组人员更安全，对需要服务的人更有效。

This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.