Results 61 to 70 of about 5,012,490 (221)

Image Matching for UAV Geolocation: Classical and Deep Learning Approaches

Journal of Imaging
Today, unmanned aerial vehicles (UAVs) are heavily dependent on Global Navigation Satellite Systems (GNSSs) for positioning and navigation. However, GNSS signals are vulnerable to jamming and spoofing attacks.
Fatih Baykal, Mehmet İrfan Gedik, Constantino Carlos Reyes-Aldasoro, Cefa Karabağ   +3 more
doaj   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul

IEEE Transactions on Machine Learning in Communications and Networking
Fast and reliable wireless communication has become a critical demand in human life. In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing ubiquitous connectivity becomes challenging by using traditional ...
Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmstrom Olsson   +5 more
doaj   +1 more source

Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment

Sensors, 2020
Nowadays, autonomous vehicles have achieved a lot of research interest regarding the navigation, the surrounding environmental perception, and control.
Mohamed Moussa, Shady Zahran, Mostafa Mostafa, Adel Moussa, Naser El-Sheimy, Mohamed Elhabiby   +5 more
doaj   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Journal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source

Design of an embedded microcomputer based mini quadrotor UAV [PDF]

, 2007
This paper describes the design and realization of a mini quadrotor UAV (Unmanned Aerial Vehicle) that has been initiated in the Systems and Control Laboratory at the Computer and Automation Research institute of the Hungarian Academy of Science in ...
Lantos, Béla, Prohászka, Zoltán, Bauer, Péter, Gáspár, Péter, Soumelidis, Alexandros   +4 more
core   +2 more sources

An Integrated Strategy for Intelligent Evasion and Navigation of Unmanned Aerial Vehicles in Multi-Obstacle Environments

Aerospace
To enhance the navigation accuracy and obstacle avoidance capability of Unmanned Aerial Vehicles (UAVs) operating in dynamic multi-obstacle environments, this paper proposes an intelligent navigation and avoidance strategy based on deep reinforcement ...
Tianya Liu, Fengshuo Wang, Peng Li
doaj   +1 more source

UAV‐Based Precision Seed Dropping for Automated Reforestation

Journal of Field Robotics, EarlyView.
ABSTRACT Wildfires and deforestation pose significant threats to forest ecosystems, motivating scalable methods for reforestation beyond labor‐intensive cultivation of native forest seedlings in nurseries. To enable large‐scale direct seeding of native species, this paper presents the design, analysis, and field evaluation of a UAV‐based seed‐dropping ...
Qi Rui Lee, Henrik Hesse, Khuanphirom Naruangsri, Worayut Takaew, Stephen Elliott, Dinesh Bhatia   +5 more
wiley   +1 more source