Automated Cinematography Motion Planning for UAVs
<|reference_start|>Automated Cinematography Motion Planning for UAVs: This project aimed to develop an automated cinematography platform using an unmanned aerial vehicle. Quadcopters are a great platform for shooting aerial scenes but are difficult to maneuver smoothly and can require expertise to pilot. We aim to design an algorithm to enable automated cinematography of a desired object of interest. Given the location of an object and other obstacles in the environment, the drone is able to plan its trajectory while simultaneously keeping the desired object in the video frame and avoiding obstacles. The high maneuverability of quadcopter platforms coupled with the desire for smooth movement and stability from camera platforms means a robust motion planning algorithm must be developed which can take advantage of the quadcopter's abilities while creating motion paths which satisfy the ultimate goal of capturing aerial video. This project aims to research, develop, simulate, and test such an algorithm.<|reference_end|>
@article{nema2024automated,
    title={Automated Cinematography Motion Planning for UAVs},
    author={Animesh Nema, Christopher Grontkowski, Derek Calzada, and Sanjuksha
  Nirgude},
    journal={arXiv preprint arXiv:2409.00864},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00864},
    primaryClass={cs.RO}
}