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Existing spatial localization techniques for autonomous vehicles mostly use a pre-built 3D-HD map, often constructed using a survey-grade 3D mapping vehicle, which is not only expensive but also laborious. This paper shows that by using an…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Shan Wang , Yanhao Zhang , Ankit Vora , Akhil Perincherry , Hongdong Li

Publicly available satellite imagery can be an ubiquitous, cheap, and powerful tool for vehicle localisation when a prior sensor map is unavailable. However, satellite images are not directly comparable to data from ground range sensors…

Robotics · Computer Science 2020-09-24 Tim Y. Tang , Daniele De Martini , Shangzhe Wu , Paul Newman

We propose a new method named LoD-Loc for visual localization in the air. Unlike existing localization algorithms, LoD-Loc does not rely on complex 3D representations and can estimate the pose of an Unmanned Aerial Vehicle (UAV) using a…

Computer Vision and Pattern Recognition · Computer Science 2024-10-17 Juelin Zhu , Shen Yan , Long Wang , Shengyue Zhang , Yu Liu , Maojun Zhang

Localization of low-cost Unmanned Aerial Vehicles (UAVs) often relies on Global Navigation Satellite Systems (GNSS). GNSS are susceptible to both natural disruptions to radio signal and intentional jamming and spoofing by an adversary. A…

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

We propose a method for accurately localizing ground vehicles with the aid of satellite imagery. Our approach takes a ground image as input, and outputs the location from which it was taken on a georeferenced satellite image. We perform…

Robotics · Computer Science 2015-11-02 Hang Chu , Hongyuan Mei , Mohit Bansal , Matthew R. Walter

Localization is one of the most crucial tasks for Unmanned Aerial Vehicle systems (UAVs) directly impacting overall performance, which can be achieved with various sensors and applied to numerous tasks related to search and rescue…

Robotics · Computer Science 2024-11-05 Thanh Nguyen Canh , Huy-Hoang Ngo , Xiem HoangVan , Nak Young Chong

We address the problem of localizing non-collaborative WiFi devices in a large region. Our main motive is to localize humans by localizing their WiFi devices, e.g. during search-and-rescue operations after a natural disaster. We use an…

Artificial Intelligence · Computer Science 2015-10-15 Mattia Carpin , Stefano Rosati , Mohammad Emtiyaz Khan , Bixio Rimoldi

It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done through extensive field measurements or ray tracing simulations…

Machine Learning · Computer Science 2021-12-30 Ibrahim Shoer , Bahadir K. Gunturk , Hasan F. Ates , Tuncer Baykas

Small-sized unmanned aerial vehicles (UAVs) have been widely investigated for use in a variety of applications such as remote sensing and aerial surveying. Direct three-dimensional (3D) mapping using a small-sized UAV equipped with a laser…

Robotics · Computer Science 2024-08-13 Taro Suzuki , Daichi Inoue , Yoshiharu Amano

Unmanned aerial vehicle (UAV) is becoming increasingly important in modern civilian and military applications. However, its novel use cases is bottlenecked by conventional satellite and terrestrial localization technologies, and calling for…

Signal Processing · Electrical Eng. & Systems 2024-01-10 Bin Han , Hans D. Schotten

Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facilitate enhanced situational awareness for many emergency response and disaster management applications since they are capable of operating in remote and difficult to…

Computer Vision and Pattern Recognition · Computer Science 2019-06-21 Christos Kyrkou , Theocharis Theocharides

The availability of real-world data is a key element for novel developments in the fields of automotive and traffic research. Aerial imagery has the major advantage of recording multiple objects simultaneously and overcomes limitations such…

Computer Vision and Pattern Recognition · Computer Science 2020-05-14 Friedrich Kruber , Eduardo Sánchez Morales , Samarjit Chakraborty , Michael Botsch

This paper presents a novel approach for localising a GPS (Global Positioning System)-denied Unmanned Aerial Vehicle (UAV) with the aid of a GPS-equipped UAV in three-dimensional space. The GPS-equipped UAV makes discrete-time broadcasts of…

Robotics · Computer Science 2024-10-24 James Russell , Mengbin Ye , Brian D. O. Anderson , Hatem Hmam , Peter Sarunic

Accurate localization of maritime targets by unmanned aerial vehicles (UAVs) remains challenging in GPS-denied environments. UAVs equipped with gimballed electro-optical sensors are typically used to localize targets, however, reliance on…

Systems and Control · Electrical Eng. & Systems 2026-02-12 Alfonso Sciacchitano , Liraz Mudrik , Sean Kragelund , Isaac Kaminer

In this paper, we present a framework for performing collaborative localization for groups of micro aerial vehicles (MAV) that use vision based sensing. The vehicles are each assumed to be equipped with a forward-facing monocular camera,…

Robotics · Computer Science 2020-05-12 Sai Vemprala , Srikanth Saripalli

This paper proposes a novel method for geo-tracking, i.e. continuous metric self-localization in outdoor environments by registering a vehicle's sensor information with aerial imagery of an unseen target region. Geo-tracking methods offer…

Computer Vision and Pattern Recognition · Computer Science 2022-09-12 Florian Fervers , Sebastian Bullinger , Christoph Bodensteiner , Michael Arens , Rainer Stiefelhagen

Recent advancements in UAV technology have spurred interest in developing multi-UAV aerial surveying systems for use in confined environments where GNSS signals are blocked or jammed. This paper focuses airborne magnetic surveying…

Signal Processing · Electrical Eng. & Systems 2024-10-11 Liang Liu , Xiao Hu , Wei Jiang , Guanglei Meng , Zhujun Wang , Taining Zhang

Unmanned Aerial Vehicle (UAV) visual geo-localization aims to match images of the same geographic target captured from different views, i.e., the UAV view and the satellite view. It is very challenging due to the large appearance…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Cuiwei Liu , Jiahao Liu , Huaijun Qiu , Zhaokui Li , Xiangbin Shi

Compact UAV systems, while advancing delivery and surveillance, pose significant security challenges due to their small size, which hinders detection by traditional methods. This paper presents a cost-effective, unsupervised UAV detection…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Hanfang Liang , Yizhuo Yang , Jinming Hu , Jianfei Yang , Fen Liu , Shenghai Yuan

The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications such as search and rescue, environmental monitoring, and…