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Indoor Express Delivery Technology Research and Implementation: An Application Exploration Based on Quadrotors

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Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) (ICAUS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1176))

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Abstract

The express industry relies on the timely and reliable delivery of goods to different destinations. Unmanned Aerial Vehicles (UAVs) have become an effective solution to this issue due to their high speed and flexibility. However, in the indoor scenario, the obstacles and complex environment often hinder the aerial delivery of UAVs. This paper addresses this problem by proposing a novel indoor delivery scheme. First, indoor self-positioning and obstacle avoidance are realized based on VINS_Fusion and EGO_Planner. Secondly, this paper designs a light-weight delivery device capable of delivering express automatically. Finally, the feasibility of the proposed scheme is verified through simulation and physical experiments. The experimental results show that the accuracy of falling into the delivery point and the probability of hitting the delivery point are 86.7% and 63.3%, respectively.

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Notes

  1. 1.

    https://www.bilibili.com/video/BV1Dx4y1Q7fM/.

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Acknowledgement

This work was supported by the Science and Technology Innovation Program of Hunan Province under Grant 2022RC1095.

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Authors and Affiliations

  1. College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China

    Changjian Li, Huangchao Yu & Su Cao

Authors
  1. Changjian Li
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  2. Huangchao Yu
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  3. Su Cao
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Corresponding author

Correspondence to Su Cao .

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Editors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, China

    Yi Qu

  2. Beijing HIWING Scientific and Technological Information Institute, Beijing, China

    Mancang Gu

  3. College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China

    Yifeng Niu

  4. Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, Shaanxi, China

    Wenxing Fu

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© 2024 Beijing HIWING Scientific and Technological Information Institute

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Li, C., Yu, H., Cao, S. (2024). Indoor Express Delivery Technology Research and Implementation: An Application Exploration Based on Quadrotors. In: Qu, Y., Gu, M., Niu, Y., Fu, W. (eds) Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023). ICAUS 2023. Lecture Notes in Electrical Engineering, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-97-1099-7_35

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