Kaya Kuru's picture
First Name: 
Kaya
Last Name: 
Kuru
Affiliation: 
University of Central Lancashire
Job Title: 
Assoc. Prof. Dr.
Expertise: 
Autonomous Systems

Datasets & Competitions

The high mobility of UAVs combined with a high level of autonomy, sensor-driven technologies and AI decision-making abilities can provide many advantages to farmers in exploiting instant information from every corner of a large farm.

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Mapping millions of buried landmines rapidly and removing them cost-effectively is supremely important to avoid their potential risks and ease this labour-intensive task. Deploying uninhabited vehicles equipped with multiple remote sensing modalities seems to be an ideal option for performing this task in a non-invasive fashion. This report provides researchers with vision-based remote sensing imagery datasets obtained from a real landmine field in Croatia that incorporated an autonomous uninhabited aerial vehicle (UAV), the so-called LMUAV.

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Supplementary materials of the paper titled 

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