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Related papers: UAV-VisLoc: A Large-scale Dataset for UAV Visual L…

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Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in GPS-denied environments, existing methods remain constrained by the availability of datasets. Current datasets often focus on small-scale scenes and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Rouwan Wu , Xiaoya Cheng , Juelin Zhu , Xuxiang Liu , Maojun Zhang , Shen Yan

Absolute Visual Localization (AVL) enables an Unmanned Aerial Vehicle (UAV) to determine its position in GNSS-denied environments by establishing geometric relationships between UAV images and geo-tagged reference maps. While many previous…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Yibin Ye , Xichao Teng , Shuo Chen , Leqi Liu , Kun Wang , Xiaokai Song , Zhang Li

Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough examination of Unmanned…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Md. Mahfuzur Rahman , Sunzida Siddique , Marufa Kamal , Rakib Hossain Rifat , Kishor Datta Gupta

Accurate visual localization from aerial views is a fundamental problem with applications in mapping, large-area inspection, and search-and-rescue operations. In many scenarios, these systems require high-precision localization while…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Oussema Dhaouadi , Riccardo Marin , Johannes Meier , Jacques Kaiser , Daniel Cremers

The vision-based geo-localization technology for UAV, serving as a secondary source of GPS information in addition to the global navigation satellite systems (GNSS), can still operate independently in the GPS-denied environment. Recent deep…

Computer Vision and Pattern Recognition · Computer Science 2024-12-13 Yuxiang Ji , Boyong He , Zhuoyue Tan , Liaoni Wu

Unmanned Aerial Vehicles (UAVs) rely on satellite systems for stable positioning. However, due to limited satellite coverage or communication disruptions, UAVs may lose signals from satellite-based positioning systems. In such situations,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Ming Dai , Enhui Zheng , Zhenhua Feng , Jiedong Zhuang , Wankou Yang

With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied areas, have become crucial concerns. To address this need,…

Robotics · Computer Science 2023-10-16 Iacopo Catalano , Xianjia Yu , Jorge Pena Queralta

Unmanned aerial vehicles (UAVs) visual localization in planetary aims to estimate the absolute pose of the UAV in the world coordinate system through satellite maps and images captured by on-board cameras. However, since planetary scenes…

Robotics · Computer Science 2024-05-14 Xubo Luo , Xue Wan , Yixing Gao , Yaolin Tian , Wei Zhang , Leizheng Shu

Considering the accelerated development of Unmanned Aerial Vehicles (UAVs) applications in both industrial and research scenarios, there is an increasing need for localizing these aerial systems in non-urban environments, using GNSS-Free,…

Robotics · Computer Science 2022-10-19 Marius-Mihail Gurgu , Jorge Peña Queralta , Tomi Westerlund

We present the ALTO dataset, a vision-focused dataset for the development and benchmarking of Visual Place Recognition and Localization methods for Unmanned Aerial Vehicles. The dataset is composed of two long (approximately 150km and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Ivan Cisneros , Peng Yin , Ji Zhang , Howie Choset , Sebastian Scherer

With the rapid growth of the low-altitude economy, UAVs have become crucial for measurement and tracking in patrol systems. However, in GNSS-denied areas, satellite-based localization methods are prone to failure. This paper presents a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Tao Liu , Kan Ren , Qian Chen

Multi-modal perception is essential for unmanned aerial vehicle (UAV) operations, as it enables a comprehensive understanding of the UAVs' surrounding environment. However, most existing multi-modal UAV datasets are primarily biased toward…

Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. Consequently, automatic understanding of visual data collected from…

Computer Vision and Pattern Recognition · Computer Science 2021-10-05 Pengfei Zhu , Longyin Wen , Dawei Du , Xiao Bian , Heng Fan , Qinghua Hu , Haibin Ling

Localization of autonomous unmanned aerial vehicles (UAVs) relies heavily on Global Navigation Satellite Systems (GNSS), which are susceptible to interference. Especially in security applications, robust localization algorithms independent…

Robotics · Computer Science 2025-01-09 Jouko Kinnari , Riccardo Renzulli , Francesco Verdoja , Ville Kyrki

Robust and accurate localization for Unmanned Aerial Vehicles (UAVs) is an essential capability to achieve autonomous, long-range flights. Current methods either rely heavily on GNSS, face limitations in visual-based localization due to…

Robotics · Computer Science 2023-10-26 Yao He , Ivan Cisneros , Nikhil Keetha , Jay Patrikar , Zelin Ye , Ian Higgins , Yaoyu Hu , Parv Kapoor , Sebastian Scherer

Visual Place Recognition and Visual Localization are essential components in navigation and mapping for autonomous vehicles especially in GNSS-denied navigation scenarios. Recent work has focused on ground or close to ground applications…

Computer Vision and Pattern Recognition · Computer Science 2022-05-25 Michael Schleiss , Fahmi Rouatbi , Daniel Cremers

The exponential growth in Unmanned Aerial Vehicles (UAVs) usage underscores the critical need of detecting them at extended distances to ensure safe operations, especially in densely populated areas. Despite the tremendous advances made in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Amirreza Rouhi , Sneh Patel , Noah McCarthy , Siddiqa Khan , Hadi Khorsand , Kaleb Lefkowitz , David K. Han

The capabilities of autonomous flight with unmanned aerial vehicles (UAVs) have significantly increased in recent times. However, basic problems such as fast and robust geo-localization in GPS-denied environments still remain unsolved.…

Robotics · Computer Science 2021-08-10 Shuxiao Chen , Xiangyu Wu , Mark W. Mueller , Koushil Sreenath

Unmanned Aerial Vehicles (UAVs) have quickly become common in various airspaces, representing a wide range of applications from recreation flying to commercial photography and package delivery. With the increasing prevalence of UAVs, it…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Knut Peterson , Zaid Mayers , Azmain Yousuf , Priontu Chowdhury , Asher Zaczepinski , Solmaz Arezoomandan , Reihaneh Maarefdoust , David Han

Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion of security and privacy has aroused social concern. Several detection and tracking systems for UAVs have been introduced in recent years, but most of…

Computer Vision and Pattern Recognition · Computer Science 2022-05-24 Jie Zhao , Jingshu Zhang , Dongdong Li , Dong Wang
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