AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance

Navigating cluttered indoor environments presents a significant challenge for aerial robots, requiring agility, speed, and a high level of reliability to avoid collisions. This project aims to address this challenge by developing advanced algorithms for lightweight drones, enabling them to reach target location and carrying out delivery efficiently and safely. Utilizing camera data to map and avoid obstacles, we create a system that not only maps and perceives the environment but also navigates its path to the destination. Included in the educational content, this project demonstrates the effectiveness of the technology through practical applications and real-world testing, helping the next generation of engineers accumulate technical experience and broaden their understanding of drone navigation algorithms and applications in system integration. It has a milestone impact on education and development of the drone field.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/itme63426.2024.00219
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance

Qinyao Liu, Jiayu Wang, L. M. Gu, Lan Xiao et al.
Robotic Path Planning Algorithms
article

AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance

Qinyao Liu, Jiayu Wang, L. M. Gu, Lan Xiao, Fanxin Wang, Haolong Jiang
article en

Abstract

Navigating cluttered indoor environments presents a significant challenge for aerial robots, requiring agility, speed, and a high level of reliability to avoid collisions. This project aims to address this challenge by developing advanced algorithms for lightweight drones, enabling them to reach target location and carrying out delivery efficiently and safely. Utilizing camera data to map and avoid obstacles, we create a system that not only maps and perceives the environment but also navigates its path to the destination. Included in the educational content, this project demonstrates the effectiveness of the technology through practical applications and real-world testing, helping the next generation of engineers accumulate technical experience and broaden their understanding of drone navigation algorithms and applications in system integration. It has a milestone impact on education and development of the drone field.

Xi’an Jiaotong-Liverpool University (CN)
Natural Science Foundation of Jiangsu Province
Climate action
Openalex Percentile: Top 71%
Robotic Path Planning Algorithms
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AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance — Qinyao Liu, Jiayu Wang, et al. · (2024) | TGRS Research Map | TGRS