Summary
International Conference on Machine Vision Applications
2023
Session Number:P1
Session:
Number:P1-17
Safe Landing Zone Detection for UAVs using Image Segmentation and Super Resolution
Benjwal Anagh, Uday Prajwal, Vadduri Aditya-Abhiram, Pai Abhishek-V,
pp.-
Publication Date:2023/07/23
Online ISSN:2188-5079
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Summary:
Increased usage of UAVs in urban environments has led to the necessity of safe and robust emergency landing zone detection techniques. This paper presents a novel approach for detecting safe landing zones for UAVs using deep learning-based image segmentation. Our approach involves using a custom dataset to train a CNN model. To account for low-resolution input images, our approach incorporates a Super-Resolution model to upscale low-resolution images before feeding them into the segmentation model. The proposed approach achieves robust and accurate detection of safe landing zones, even on low-resolution images. Experimental results demonstrate the effectiveness of our method and show a marked improvement of upto 6.3% in accuracy over state-of-the-art safe landing zone detection methods.