Autonomous Planning for Multiple Aerial Cinematographers

Caraballo, Luis Evaristo; Montes-Romero, Ángel; Díaz-Báñez, José Miguel; Capitán, Jesús; Torres-González, Arturo; Ollero, A.

doi:10.1109/iros45743.2020.9341622

Cited by 13 publications

(13 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, [10] proposes a optimization-based algorithm to coordinate multiple UAVs while accounting for inter-drone collisions and mutual visibility, and requires userdefined paths as guidelines for the motion of each drone. The work of [12] takes on additional constraints into a greedy optimization, and maximizes target visibility over time using a team of drones subject to limited battery life. [13] simplifies the actor coverage problem to a 2D space, maximizing target visibility.…”

Section: Multi-robot Systemsmentioning

confidence: 99%

“…Despite the large recent progress in single-UAV filming solutions, multi-UAV systems are still scarce. Existing approaches focus mainly on coordinating vehicles to follow predefined shot types [10] or pre-planned filming missions [11,12], restricting the use of this technology to scripted applications. We also find work on maximizing actor coverage [13], partially addressing the shot diversity objective, but this approach is restricted to 2D reasoning and static targets.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography

Bucker

Bonatti

Scherer

2021

2021 IEEE International Conference on Robotics and Automation (ICRA)

View full text Add to dashboard Cite

show abstract

Section: Multi-robot Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography

Bucker

Bonatti

Scherer

2021

2021 IEEE International Conference on Robotics and Automation (ICRA)

View full text Add to dashboard Cite

show abstract

“…Over the last decade, the use of Unmanned Aerial Vehicles (UAVs) has been continuously growing for a broad spectrum of applications [ 1 , 2 ]. In some of these applications, UAVs collect data using cameras or sensors, e.g., for filming or remote sensing [ 3 , 4 , 5 , 6 ], whereas in others, they are equipped with end-effectors to accomplish aerial manipulation tasks [ 7 , 8 , 9 , 10 ]. More specifically, UAVs are of particular interest in inspection tasks of civil infrastructures [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Localization System for Lightweight Unmanned Aerial Vehicles in Inspection Tasks

Benjumea

Alcántara

Ramos

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

This paper presents a localization system for Unmanned Aerial Vehicles (UAVs) especially designed to be used in infrastructure inspection, where the UAVs have to fly in challenging conditions, such as relatively high altitude (e.g., 15 m), eventually with poor or absent GNSS (Global Navigation Satellite System) signal reception, or the need for a BVLOS (Beyond Visual Line of Sight) operation in some periods. In addition, these infrastructure inspection applications impose the following requirements for the localization system: defect traceability, accuracy, reliability, and fault tolerance. Our system proposes a lightweight solution combining multiple stereo cameras with a robotic total station to comply with these requirements, providing full-state estimation (i.e., position, orientation, and linear and angular velocities) in a fixed and time-persistent reference frame. Moreover, the system can align and fuse all sensor measurements in real-time at high frequency. We have integrated this localization system in our aerial platform, and we have tested its performance for inspection in a real-world viaduct scenario, where the UAV has to operate with poor or absent GNSS signal at high altitude.

show abstract

“…The director indicates desired shot types, starting times/positions and durations; but she/he does not assign specific drone cinematographers to them. Instead, the system computes autonomously feasible plans for the drones [6], considering constraints such as their remaining battery, no-fly zones, collision avoidance, etc. Each drone gets scheduled one or several shots, together with the events that will trigger each shot.…”

Section: Introductionmentioning

confidence: 99%

“…The focus of this paper is on mission execution, so we assume these planned schedules for each drone as a starting point. Different planning techniques may be used to compute those schedules [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Execution of Cinematographic Shots with Multiple Drones

Alcántara,

Capitán,

Torres-González

et al. 2020

Preprint

View full text Add to dashboard Cite

This paper presents a system for the execution of autonomous cinematography missions with a team of drones. The system allows media directors to design missions involving different types of shots with one or multiple cameras, running sequentially or concurrently. We introduce the complete architecture, which includes components for mission design, planning and execution. Then, we focus on the components related to autonomous mission execution. First, we propose a novel parametric description for shots, considering different types of camera motion and tracked targets; and we use it to implement a set of canonical shots. Second, for multi-drone shot execution, we propose distributed schedulers that activate different shot controllers on board the drones. Moreover, an event-based mechanism is used to synchronize shot execution among the drones and to account for inaccuracies during shot planning. Finally, we showcase the system with field experiments filming sport activities, including a real regatta event. We report on system integration and lessons learnt during our experimental campaigns.INDEX TERMS Autonomous cinematography, Multi-robot system, Unmanned aerial vehicles.

show abstract

Autonomous Planning for Multiple Aerial Cinematographers

Cited by 13 publications

References 9 publications

Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography

Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography

Localization System for Lightweight Unmanned Aerial Vehicles in Inspection Tasks

Autonomous Execution of Cinematographic Shots with Multiple Drones

Contact Info

Product

Resources

About