@inproceedings{1a5e7dc0ce3a45f38f551bc500d9245e,
title = "Generating minimum-snap quadrotor trajectories really fast",
abstract = "We propose an algorithm for generating minimum-snap trajectories for quadrotors with linear computational complexity with respect to the number of segments in the spline trajectory. Our algorithm is numerically stable for large numbers of segments and is able to generate trajectories of more than 500, 000 segments. The computational speed and numerical stability of our algorithm makes it suitable for real-time generation of very large scale trajectories. We demonstrate the performance of our algorithm and compare it to existing methods, in which it is both faster and able to calculate larger trajectories than state-of-the-art. We also show the feasibility of the trajectories experimentally with a long quadrotor flight.",
author = "Declan Burke and Airlie Chapman and Iman Shames",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 ; Conference date: 24-10-2020 Through 24-01-2021",
year = "2020",
month = oct,
day = "24",
doi = "10.1109/IROS45743.2020.9341794",
language = "English",
series = "IEEE International Conference on Intelligent Robots and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1487--1492",
booktitle = "2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020",
address = "United States",
}