Autonomous aerial cinematography in unstructured environments with learned artistic decision‐making

Author:

Bonatti Rogerio1ORCID,Wang Wenshan1ORCID,Ho Cherie1ORCID,Ahuja Aayush1,Gschwindt Mirko2ORCID,Camci Efe3ORCID,Kayacan Erdal4ORCID,Choudhury Sanjiban5ORCID,Scherer Sebastian1ORCID

Affiliation:

1. The Robotics InstituteCarnegie Mellon UniversityPittsburgh Pennsylvania

2. Department of Computer ScienceTechnische Universität MünchenMunich Germany

3. School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingapore Singapore

4. Department of EngineeringAarhus UniversityAarhus Denmark

5. School of Computer ScienceUniversity of WashingtonSeattle Washington

Funder

Yamaha Motor Co., Ltd.

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference102 articles.

1. Multi-Heuristic A*

2. Arijon D.(1976).Grammar of the film language.

3. Bonatti R. Ho C. Wang W. Choudhury S. &Scherer S.(2019). Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments.2019 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS).

4. Bonatti R. Zhang Y. Choudhury S. Wang W. &Scherer S.(2018). Autonomous drone cinematographer: Using artistic principles to create smooth safe occlusion‐free trajectories for aerial filming.International Symposium on Experimental Robotics.

5. Grammar of the Shot

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