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This letter describes a method for autonomous aerial cinematography with distributed lighting by a team of unmanned aerial vehicles (UAVs). Although camera-carrying multi-rotor helicopters have become commonplace in cinematography, their…

In recent years, unmanned aircraft systems (UASs) are frequently used in many different applications of photogrammetry such as building damage monitoring, archaeological mapping and vegetation monitoring. In this paper, a new…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Mohammad R. Bayanlou , Mehdi Khoshboresh-Masouleh

Creating a photomap plays a critical role in navigation. Therefore, flying vehicles are usually used to create topdown maps of the environment. In this report we used two different aerial vehicles to create a map in a simulated environment

Other Computer Science · Computer Science 2014-11-11 Su Kim

Rapid generation of large-scale orthoimages from Unmanned Aerial Vehicles (UAVs) has been a long-standing focus of research in the field of aerial mapping. A multi-sensor UAV system, integrating the Global Positioning System (GPS), Inertial…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Jialei He , Zhihao Zhan , Zhituo Tu , Xiang Zhu , Jie Yuan

We present a new solution to tracking and mapping with an event camera. The motion of the camera contains both rotation and translation, and the displacements happen in an arbitrarily structured environment. As a result, the image matching…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Yifu Wang , Jiaqi Yang , Xin Peng , Peng Wu , Ling Gao , Kun Huang , Jiaben Chen , Laurent Kneip

This paper presents OpenREALM, a real-time mapping framework for Unmanned Aerial Vehicles (UAVs). A camera attached to the onboard computer of a moving UAV is utilized to acquire high resolution image mosaics of a targeted area of interest.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-23 Alexander Kern , Markus Bobbe , Yogesh Khedar , Ulf Bestmann

Visual Odometry (VO) is crucial for autonomous robotic navigation, especially in GPS-denied environments like planetary terrains. To improve robustness, recent model-based VO systems have begun combining standard and event-based cameras.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Roberto Pellerito , Marco Cannici , Daniel Gehrig , Joris Belhadj , Olivier Dubois-Matra , Massimo Casasco , Davide Scaramuzza

As the ubiquity of smart mobile devices continues to rise, Optical Camera Communication systems have gained more attention as a solution for efficient and private data streaming. This system utilizes optical cameras to receive data from…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Hang Su , Ling Gao , Tao Liu , Laurent Kneip

There is an increased interest in the use of Unmanned Aerial Vehicles (UAVs) for agriculture, military, disaster management and aerial photography around the world. UAVs are scalable, flexible and are useful in various environments where…

Computer Vision and Pattern Recognition · Computer Science 2020-08-05 Bapireddy Karri

Event cameras, inspired by biological vision, are asynchronous sensors that detect changes in brightness, offering notable advantages in environments characterized by high-speed motion, low lighting, or wide dynamic range. These distinctive…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Jiaqiang Zhang , Xianjia Yu , Ha Sier , Haizhou Zhang , Tomi Westerlund

This project aimed to develop an automated cinematography platform using an unmanned aerial vehicle. Quadcopters are a great platform for shooting aerial scenes but are difficult to maneuver smoothly and can require expertise to pilot. We…

Robotics · Computer Science 2024-09-04 Animesh Nema , Christopher Grontkowski , Derek Calzada , Sanjuksha Nirgude

Over the past decade, there has been a significant increase in the use of Unmanned Aerial Vehicles (UAVs) to support a wide variety of missions, such as remote surveillance, vehicle tracking, and object detection. For problems involving…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Suleyman Melih Portakal , Ahmet Alp Kindiroglu , Mahiye Uluyagmur Ozturk

Event cameras are bio-inspired sensors with some notable features, including high dynamic range and low latency, which makes them exceptionally suitable for perception in challenging scenarios such as high-speed motion and extreme lighting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Kuangyi Chen , Jun Zhang , Friedrich Fraundorfer

Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolution, low power consumption and high dynamic range, compared to traditional frame-based…

Computer Vision and Pattern Recognition · Computer Science 2018-03-22 Amos Sironi , Manuele Brambilla , Nicolas Bourdis , Xavier Lagorce , Ryad Benosman

Event cameras, or Dynamic Vision Sensors (DVS) are novel neuromorphic sensors that capture brightness changes as a continuous stream of "events" rather than traditional intensity frames. Converting sparse events to dense intensity frames…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Yuhan Bao , Lei Sun , Yuqin Ma , Kaiwei Wang

Event cameras are bio-inspired sensors that perform well in challenging illumination conditions and have high temporal resolution. However, their concept is fundamentally different from traditional frame-based cameras. The pixels of an…

Computer Vision and Pattern Recognition · Computer Science 2022-06-13 Xin Peng , Ling Gao , Yifu Wang , Laurent Kneip

Event-based cameras are bio-inspired vision sensors whose pixels work independently from each other and respond asynchronously to brightness changes, with microsecond resolution. Their advantages make it possible to tackle challenging…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Yi Zhou , Guillermo Gallego , Shaojie Shen

Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different imaging tasks, a comprehensive study of recently advances and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-12 Yunfan Lu , Xiaogang Xu , Pengteng Li , Yusheng Wang , Yi Cui , Huizai Yao , Hui Xiong

Perception systems for ornithopters face severe challenges. The harsh vibrations and abrupt movements caused during flapping are prone to produce motion blur and strong lighting condition changes. Their strict restrictions in weight, size,…

This article addresses the visual area coverage problem using a team of Unmanned Aerial Vehicles (UAVs). The UAVs are assumed to be equipped with a downward facing camera covering all points of interest within a circle on the ground. The…

Systems and Control · Computer Science 2017-01-05 Sotiris Papatheodorou , Anthony Tzes , Yiannis Stergiopoulos
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