research-article

Vision-based UAVs Aerial Image Localization: A Survey

Authors:

Jiangjiang WuAuthors Info & Claims

GeoAI '18: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Pages 9 - 18

https://doi.org/10.1145/3281548.3281556

Published: 06 November 2018 Publication History

Abstract

Unmanned aerial vehicles (UAVs) have been increasingly used in earth observation, public safety, military and civilian applications due to its portability, high mobility and flexibility. In some GPS-denied environments, accurate drone position cannot be obtained due to occlusion, multi-path interference and other factors. While understanding and localization the content of the images is vital for earth observation, map revision, multi-source image fusion, disaster relief, smart city and other applications. The progress of computer vision and convolutional neural networks(CNNs) in image processing provide a promising solution to locate UAVs aerial image and mapping to the large-scale reference image. Firstly, key localization techniques based on image retrieval-----image description, image matching and position mapping are summarized considering the characteristics of UAVs aerial images. And then, image localization based on extracting deep semantic features and image localization based on classification method by subdividing areas are recommended. Throughout this paper, we will have an insight into the prospect of the UAVs image localization and the challenges to be faced.

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cover image ACM Conferences

GeoAI '18: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

November 2018

68 pages

ISBN:9781450360364

DOI:10.1145/3281548

Editors:
Yingjie Hu
University at Buffalo, NY, USA
,
Song Gao
University of Wisconsin, Madison, WI, USA
,
Shawn Newsam
University of California, Merced, CA, USA
,
Dalton Lunga
Oak Ridge National Lab, TN, USA

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Published: 06 November 2018

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SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

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Tang PLi JSun H(2024)A Review of Electric UAV Visual Detection and Navigation Technologies for Emergency Rescue MissionsSustainability10.3390/su1605210516:5(2105)Online publication date: 3-Mar-2024
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