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Traffic congestion and violations pose significant challenges for urban mobility and road safety. Traditional traffic monitoring systems, such as fixed cameras and sensor-based methods, are often constrained by limited coverage, low…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Ali Khanpour , Tianyi Wang , Afra Vahidi-Shams , Wim Ectors , Farzam Nakhaie , Amirhossein Taheri , Christian Claudel

Detecting and segmenting cracks in infrastructure, such as roads and buildings, is crucial for safety and cost-effective maintenance. In spite of the potential of deep learning, there are challenges in achieving precise results and handling…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 June Moh Goo , Xenios Milidonis , Alessandro Artusi , Jan Boehm , Carlo Ciliberto

Emissions of particulate matter into the atmosphere are essential to characterize, in terms of properties such as particle size, morphology, and composition, to better understand impacts on public health and the climate. However, there is…

Instrumentation and Detectors · Physics 2023-01-18 Nathaniel R. Bristow , Nikolas Pardoe , Jiarong Hong

Deploying unmanned aerial vehicle (UAV) networks to provide coverage for outdoor users has attracted great attention during the last decade. However, outdoor coverage is challenging due to the high mobility of crowds and the diverse terrain…

Networking and Internet Architecture · Computer Science 2023-12-07 Zhengying Lou , Ruibo Wang , Baha Eddine Youcef Belmekki , Mustafa A. Kishk , Mohamed-Slim Alouini

Surface cracks in infrastructure can lead to severe deterioration and expensive maintenance if not efficiently repaired. Manual repair methods are labor-intensive, time-consuming, and imprecise. While advancements in robotic perception and…

Robotics · Computer Science 2025-08-13 Joshua Genova , Eric Cabrera , Vedhus Hoskere

Unmanned Aerial Vehicles (UAVs) are considered cutting-edge technology with highly cost-effective and flexible usage scenarios. Although many papers have reviewed the application of UAVs in agriculture, the review of the application for…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Weijie Kuang , Hann Woei Ho , Ye Zhou , Shahrel Azmin Suandi , Farzad Ismail

This article presents a three-dimensional nonlinear trajectory tracking control strategy for unmanned aerial vehicles (UAVs) in the presence of spatial constraints. As opposed to many existing control strategies, which do not consider…

Systems and Control · Electrical Eng. & Systems 2024-07-16 Saurabh Kumar , Shashi Ranjan Kumar , Abhinav Sinha

This article presents a fully autonomous aerial masonry construction framework using heterogeneous unmanned aerial vehicles (UAVs), supported by experimental validation. Two specialized UAVs were developed for the task: (i) a brick-carrier…

Dents on the aircraft skin are frequent and may easily go undetected during airworthiness checks, as their inspection process is tedious and extremely subject to human factors and environmental conditions. Nowadays, 3D scanning technologies…

Computer Vision and Pattern Recognition · Computer Science 2023-02-27 Pasquale Lafiosca , Ip-Shing Fan , Nicolas P. Avdelidis

Full autonomy for fixed-wing unmanned aerial vehicles (UAVs) requires the capability to autonomously detect potential landing sites in unknown and unstructured terrain, allowing for self-governed mission completion or handling of emergency…

Robotics · Computer Science 2018-02-27 Timo Hinzmann , Thomas Stastny , Cesar Cadena , Roland Siegwart , Igor Gilitschenski

The ubiquity of unmanned aerial vehicles (UAVs) or drones is posing both security and safety risks to the public as UAVs are now used for cybercrimes. To mitigate these risks, it is important to have a system that can detect or identify the…

Signal Processing · Electrical Eng. & Systems 2021-07-13 Olusiji O Medaiyese , Martins Ezuma , Adrian P Lauf , Ayodeji A Adeniran

Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including transportation, surveillance, and military. However, their potential for safety and privacy violations is an increasing issue and highly limits their broader…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Xue-Feng Zhu , Tianyang Xu , Jian Zhao , Jia-Wei Liu , Kai Wang , Gang Wang , Jianan Li , Qiang Wang , Lei Jin , Zheng Zhu , Junliang Xing , Xiao-Jun Wu

As the technological advancement and capabilities of automated systems have increased drastically, the usage of unmanned aerial vehicles for performing human-dependent tasks without human indulgence has also spiked. Since unmanned aerial…

Cryptography and Security · Computer Science 2021-12-22 Yasir Ali Farrukh , Irfan Khan

This paper presents visual and 3D structure inspection for steel structures and bridges using a developed climbing robot. The robot can move freely on a steel surface, carry sensors, collect data and then send to the ground station in real…

Robotics · Computer Science 2017-05-16 Hung M. La

Unmanned Aerial Vehicles (UAVs), in particular Drones, have gained significant importance in diverse sectors, mainly military uses. Recently, we can see a growth in acceptance of autonomous UAVs in civilian spaces as well. However, there is…

Robotics · Computer Science 2021-08-31 Anamta Khan

Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural plant protection, environment monitoring and so on. With the…

Robotics · Computer Science 2022-11-18 Zhiqing Wei , Mingyue Zhu , Ning Zhang , Lin Wang , Yingying Zou , Zeyang Meng , Huici Wu , Zhiyong Feng

Smart Micro Aerial Vehicles (MAVs) have transformed infrastructure inspection by enabling efficient, high-resolution monitoring at various stages of construction, including hard-to-reach areas. Traditional manual operation of drones in…

Robotics · Computer Science 2024-08-13 Paoqiang Pan , Kewei Hu , Xiao Huang , Wei Ying , Xiaoxuan Xie , Yue Ma , Naizhong Zhang , Hanwen Kang

Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipped with camera sensors that produce aerial photos of the…

Machine Learning · Computer Science 2018-08-09 Andreas Kamilaris , Francesc X. Prenafeta-Boldú

Rockfalls are a hazard for the safety of infrastructure as well as people. Identifying loose rocks by inspection of slopes adjacent to roadways and other infrastructure and removing them in advance can be an effective way to prevent…

Machine Learning · Computer Science 2021-10-12 Roya Nasimi , Fernando Moreu , John Stormont

An Unmanned Aerial Vehicle (UAV) is a promising technology for providing wireless coverage to ground user devices. For all the infrastructure communication networks destroyed in disasters, UAVs battery life is challenging during service…

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