Loss of thrust emergencies---e.g., induced by bird/drone strikes or fuel exhaustion---create the need for dynamic data-driven flight trajectory planning to advise pilots or control UAVs. While total loss of thrust (gliding) trajectories to nearby airports can be pre-computed for all initial points in a 3D flight plan, dynamic aspects such as partial power, wind, and airplane surface damage must be considered for accuracy. Apart from that, the presence of obstacles and the reachability of nearby runways also need to be taken into consideration for generating flyable trajectories that can safely bring an aircraft down to the ground in case of a loss of thrust emergency.
- Dynamic Data-Driven Avionics Software (DDDAS) approach which during flight updates a damaged aircraft performance model, used in turn to generate plausible flight trajectories to a safe landing site.
- Modelling the effect of wind on trajectories and generating wind-aware trajectories.
- Terrain aware algorithms that detect obstacles in the path and generate trajectories that avoid those obstacles without sacrificing the computational time.
- Uncertainty quantification in the trajectory planning process (uncertainty in wind speed, glide ratio, and the ability of the pilot to accurately follow the trajectories).
- Ranking trajectories by safety, uncertainty and pilot preference.