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KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments (2022)

First Author: Wang Y

Attributed to: SitS NSF-UKRI: Wireless In-Situ Soil Sensing Network for Future Sustainable Agriculture funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2202.12419

Publication URI: https://arxiv.org/abs/2202.12419

Type: Preprint