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Detection of small-sized targets is of paramount importance in many aerial vision-based applications. The commonly deployed low cost unmanned aerial vehicles (UAVs) for aerial scene analysis are highly resource constrained in nature. In…

计算机视觉与模式识别 · 计算机科学 2019-09-04 Murari Mandal , Manal Shah , Prashant Meena , Santosh Kumar Vipparthi

In the last twenty years, unmanned aerial vehicles (UAVs) have garnered growing interest due to their expanding applications in both military and civilian domains. Detecting non-cooperative aerial vehicles with efficiency and estimating…

Unmanned aerial vehicles (UAVs) are increasingly employed in diverse applications such as land surveying, material transport, and environmental monitoring. Following missions like data collection or inspection, UAVs must land safely at…

机器人学 · 计算机科学 2025-06-30 Haiping Yang , Huaxing Liu , Wei Wu , Zuohui Chen , Ning Wu

Nighttime UAV tracking faces significant challenges in real-world robotics operations. Low-light conditions not only limit visual perception capabilities, but cluttered backgrounds and frequent viewpoint changes also cause existing trackers…

计算机视觉与模式识别 · 计算机科学 2025-10-27 Xuzhao Li , Xuchen Li , Shiyu Hu

In recent years, unmanned aerial vehicles (UAVs) are used for numerous inspection and video capture tasks. Manually controlling UAVs in the vicinity of obstacles is challenging, however, and poses a high risk of collisions. Even for…

机器人学 · 计算机科学 2022-08-12 Daniel Schleich , Sven Behnke

This paper presents a review of techniques used for the detection and tracking of UAVs or drones. There are different techniques that depend on collecting measurements of the position, velocity, and image of the UAV and then using them in…

计算机视觉与模式识别 · 计算机科学 2023-06-26 Raed Abu Zitar , Mohammad Al-Betar , Mohamad Ryalat , Sofian Kassaymeh

With the increasing utilization of Internet of Things (IoT) enabled drones in diverse applications like photography, delivery, and surveillance, concerns regarding privacy and security have become more prominent. Drones have the ability to…

计算机视觉与模式识别 · 计算机科学 2023-06-13 Jaskaran Singh

Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS). Inspired by recent success of deep learning (DL), many advanced…

计算机视觉与模式识别 · 计算机科学 2021-10-26 Xin Wu , Wei Li , Danfeng Hong , Ran Tao , Qian Du

Micro unmanned aerial vehicles (mUAV) became very common in recent years. As a result of their widespread usage, when they are flown by hobbyists illegally, crucial risks are imposed and such mUAVs need to be sensed by security systems.…

计算机视觉与模式识别 · 计算机科学 2020-01-20 Fatih Gökçe

With the rapid advancement of UAV technology and its extensive application in various fields such as military reconnaissance, environmental monitoring, and logistics, achieving efficient and accurate Anti-UAV tracking has become essential.…

计算机视觉与模式识别 · 计算机科学 2025-07-15 Guanghai Ding , Yihua Ren , Yuting Liu , Qijun Zhao , Shuiwang Li

Unmanned surface vehicles (USVs) and boats are increasingly important in maritime operations, yet their deployment is limited due to costly sensors and complexity. LiDAR, radar, and depth cameras are either costly, yield sparse point clouds…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Benjamin Kiefer , Yitong Quan , Andreas Zell

Multi-Object Tracking is one of the most important technologies in maritime computer vision. Our solution tries to explore Multi-Object Tracking in maritime Unmanned Aerial vehicles (UAVs) and Unmanned Surface Vehicles (USVs) usage…

计算机视觉与模式识别 · 计算机科学 2023-11-15 Kaer Huang , Weitu Chong

Intelligent detection and tracking of the vessels on the sea play a significant role in conducting traffic avoidance in unmanned surface vessels(USV). Current traffic avoidance software relies mainly on Automated Identification System (AIS)…

人工智能 · 计算机科学 2024-05-21 Srikanth Vemula , Eulises Franco , Michael Frye

Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Ground based tracking requires setting up infrastructure, could…

A novel control & software architecture using ROS C++ is introduced for object interception by a UAV with a mounted depth camera and no external aid. Existing work in trajectory prediction focused on the use of off-board tools like motion…

机器人学 · 计算机科学 2021-11-18 Jasper Tan , Arijit Dasgupta , Arjun Agrawal , Sutthiphong Srigrarom

Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents significant challenges, including extremely low pixel occupancy, cluttered aerial backgrounds, and strict real-time constraints. Existing…

计算机视觉与模式识别 · 计算机科学 2026-03-27 Pengyu Chen , Haotian Sa , Yiwei Hu , Yuhan Cheng , Junbo Wang

Drones, or general UAVs, equipped with a single camera have been widely deployed to a broad range of applications, such as aerial photography, fast goods delivery and most importantly, surveillance. Despite the great progress achieved in…

计算机视觉与模式识别 · 计算机科学 2019-10-21 Haotian Zhang , Gaoang Wang , Zhichao Lei , Jenq-Neng Hwang

The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described…

机器人学 · 计算机科学 2021-03-11 Giuseppe Silano , Luigi Iannelli

Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use. For this reason, the automated detection and tracking of UAV is a fundamental task in aerial security systems. Common…

计算机视觉与模式识别 · 计算机科学 2022-11-23 Brian K. S. Isaac-Medina , Matt Poyser , Daniel Organisciak , Chris G. Willcocks , Toby P. Breckon , Hubert P. H. Shum

This paper introduces a novel unmanned aerial vehicles (UAV) chasing system designed to track and chase unauthorized UAVs, significantly enhancing their neutralization effectiveness.

系统与控制 · 电气工程与系统科学 2025-02-06 Tae-Won Ban , Kyu-Min Kang , Bang Chul Jung