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Chenglin Wang, Qiyu Han, Chunjiang Li, Jianian Li, Dandan Kong, Faan Wang and Xiangjun Zou
Reasonably formulating the strawberry harvesting sequence can improve the quality of harvested strawberries and reduce strawberry decay. Growth information based on drone image processing can assist the strawberry harvesting, however, it is still a chall...
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Houssem R. E. H. Bouchekara, Bashir O Sadiq, Sikiru O Zakariyya, Yusuf A. Sha?aban, Mohammad S. Shahriar and Musab M. Isah
Images taken by drones often must be preprocessed and stitched together due to the inherent noise, narrow imaging breadth, flying height, and angle of view. Conventional UAV feature-based image stitching techniques significantly rely on the quality of fe...
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Moatsum Alawida, Je Sen Teh and Wafa? Hamdan Alshoura
Drone-based surveillance has become widespread due to its flexibility and ability to access hazardous areas, particularly in industrial complexes. As digital camera capabilities improve, more visual information can be stored in high-resolution images, re...
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Yuzhe Bai, Fengjun Hou, Xinyuan Fan, Weifan Lin, Jinghan Lu, Junyu Zhou, Dongchen Fan and Lin Li
With the widespread application of drone technology, the demand for pest detection and identification from low-resolution and noisy images captured with drones has been steadily increasing. In this study, a lightweight pest identification model based on ...
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Shabnam Mateen, Narissara Nuthammachot, Kuaanan Techato and Nasim Ullah
In order to address the challenges of global warming, the Billion Tree plantation drive was initiated by the government of Khyber Pakhtunkhwa, Pakistan, in 2014. The land cover changes as a result of Billion Tree Tsunami project are relatively unexplored...
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Yingxiang Zhao, Lumei Zhou, Xiaoli Wang, Fan Wang and Gang Shi
Cracks are a common type of road distress. However, the traditional manual and vehicle-borne methods of detecting road cracks are inefficient, with a high rate of missed inspections. The development of unmanned aerial vehicles (UAVs) and deep learning ha...
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Ka Seng Chou, Teng Lai Wong, Kei Long Wong, Lu Shen, Davide Aguiari, Rita Tse, Su-Kit Tang and Giovanni Pau
This research addresses the challenges of visually impaired individuals? independent travel by avoiding obstacles. The study proposes a distance estimation method for uncontrolled three-dimensional environments to aid navigation towards labeled target ob...
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Chi Zhang, Zhong Yang, Haoze Zhuo, Luwei Liao, Xin Yang, Tang Zhu and Guotao Li
Self-localization and state estimation are crucial capabilities for agile drone autonomous navigation. This article presents a lightweight and drift-free vision-IMU-GNSS tightly coupled multisensor fusion (LDMF) strategy for drones? autonomous and safe n...
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Ming-Ru Xie, Shing-Yun Jung and Kuan-Wen Chen
In this paper, we propose a three-dimensional autonomous drone exploration system (ADES) with a lightweight and low-latency saliency prediction model to explore unknown environments. Several studies have applied saliency prediction in drone exploration. ...
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Murat Ekici, Ahmet Çagdas Seçkin, Ahmet Özek and Ceyhun Karpuz
The use of robotic systems in logistics has increased the importance of precise positioning, especially in warehouses. The paper presents a system that uses virtual fiducial markers to accurately predict the position of a drone in a warehouse and count i...
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