Keskeiset käsitteet
Optimizing drone filming time is NP-hard due to limited battery endurance.
Tiivistelmä
The content discusses the challenges of using drones for aerial photography and cinematography, focusing on optimizing filming time at sporting events. It delves into the NP-hardness of solving optimization problems when drones have limited battery endurance. The article presents a detailed analysis of trajectory planning, scheduling problems, and decision-making processes involved in maximizing filming time. Various algorithms and formulations are explored to address the complexities of drone cinematography under realistic constraints.
Abstract:
Use of drones for aerial photography is widespread.
Optimizing filming time at sporting events is challenging.
NP-hard problem due to limited drone battery endurance.
Introduction:
Impact of commercial UAVs on media production.
Optimization problems in UAV-based shooting.
Algorithms for maximum coverage using multiple cooperating UAVs.
Problem Statement:
Scenario: Outdoor event filmed by drones.
Film plan defined by locations and time intervals.
Flight paths, realizable paths, and filming time calculation explained.
Data Extraction:
Recently considered scheduling problem can be solved in polynomial time assuming unlimited battery endurance for drones.
Authors prove NP-hardness for team of drones with limited battery endurance.
Tilastot
Recently considered scheduling problem can be solved in polynomial time assuming unlimited battery endurance for drones.
Authors prove NP-hardness for team of drones with limited battery endurance.
Lainaukset
"Drones provide an affordable alternative for capturing impressive aerial footage."
"NP-hard problem arises when considering limited battery endurance."