UAV indoor multi-point localization based on optimal path planning

Jialin Wan; Xuming Wang

doi:10.1117/12.2685616

15 August 2023 UAV indoor multi-point localization based on optimal path planning

Jialin Wan, Xuming Wang

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127191Z (2023) https://doi.org/10.1117/12.2685616
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

When using UAVs to inventory goods in large warehouses, multiple targets need to be inventoried and the goods dropped off. Precise positioning of the UAV is necessary for accurate inventory tasks. The optical flow localization scheme is only suitable for the environment with good lighting conditions and rich ground texture. On the other hand, Lidar or UWB requires a higher cost. In this paper, we use optical flow and vision to achieve precise positioning of multitasking nodes. Optimizing the path of drones using the Floyd algorithm. During flight, vision is used to correct the accumulated error generated by the optical flow. We have carried out simulations and experiments. The result show that our scheme is effective and feasible and has the advantages of low cost and high accuracy.

Citation Download Citation

Jialin Wan and Xuming Wang "UAV indoor multi-point localization based on optimal path planning", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127191Z (15 August 2023); https://doi.org/10.1117/12.2685616

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