A Trajectory Recommendation System via Optimizing Sensors Utilization in Airborne Systems (Demo Paper)
Airborne sensory system is equipped on piloted or remotely-piloted aerial vehicles to collect and transmit imagery data back to the ground users. In traditional approaches where pilots to satisfy spatio-temporal tasks via image capturing, the pilot is required to manually decide an alternative trajectory to satisfy as many tasks as possible while maintaining a low deviation cost due to fuel constraint. Additionally, various constraints on tasks and original flight trajectory must be satisfied as well, such as temporal and Quality of Service constraints. We show a demo of a trajectory recommendation framework consists of two approaches to generate an optimized trajectory with the above goals by increasing sensor utilization via task aggregation and scheduling. We demonstrate a trajectory recommendation system that accepts user inputs and outputs visualization of intermediate processes and final trajectory.
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