UAV Trajectory Planning with Path Processing
<|reference_start|>UAV Trajectory Planning with Path Processing: This paper examines the influence of initial guesses on trajectory planning for Unmanned Aerial Vehicles (UAVs) formulated in terms of Optimal Control Problem (OCP). The OCP is solved numerically using the Pseudospectral collocation method. Our approach leverages a path identified through Lazy Theta* and incorporates known constraints and a model of the UAV's behavior for the initial guess. Our findings indicate that a suitable initial guess has a beneficial influence on the planned trajectory. They also suggest promising directions for future research.<|reference_end|>
@article{bouček2024uav,
    title={UAV Trajectory Planning with Path Processing},
    author={Zdenv{e}k Bouv{c}ek, Miroslav Fl'idr, and Ondv{r}ej Straka},
    journal={arXiv preprint arXiv:2407.01366},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.01366},
    primaryClass={cs.RO cs.SY eess.SY}
}