A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

F Pasandideh, JPJ Costa, R Kunst… - Journal of Field …, 2023 - Wiley Online Library
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …

Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues

MR Rezaee, NAWA Hamid, M Hussin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the contemporary landscape, the escalating deployment of drones across diverse
industries has ushered in a consequential concern, including ensuring the security of drone …

What's in the black box? the false negative mechanisms inside object detectors

D Miller, P Moghadam, M Cox… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
In object detection, false negatives arise when a detector fails to detect a target object. To
understand why object detectors produce false negatives, we identify five 'false negative …

[HTML][HTML] Assessment of Trees' Structural Defects via Hybrid Deep Learning Methods Used in Unmanned Aerial Vehicle (UAV) Observations

Q Qiu, D Lau - Forests, 2024 - mdpi.com
Trees' structural defects are responsible for the reduction in forest product quality and the
accident of tree collapse under extreme environmental conditions. Although the manual …

[HTML][HTML] An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning

D Debnath, F Vanegas, S Boiteau, F Gonzalez - Drones, 2024 - mdpi.com
In this paper, we propose an innovative approach for the path planning of Uninhabited
Aerial Vehicles (UAVs) that combines an advanced Genetic Algorithm (GA) for optimising …

[HTML][HTML] New technologies for UAV navigation with real-time pattern recognition

B Qian, N Al Said, B Dong - Ain Shams Engineering Journal, 2024 - Elsevier
The study is dedicated to the investigation and analysis of real-time navigation technologies
for UAVs utilizing image scanning and object recognition. This research employs the DJI …

QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS

D Debnath, AF Hawary, MI Ramdan, FV Alvarez… - Drones, 2023 - mdpi.com
Obstacle avoidance is a desirable capability for Unmanned Aerial Systems (UASs)/drones
which prevents crashes and reduces pilot fatigue, particularly when operating in the Beyond …

Bluetooth low energy for close detection in search and rescue missions with robotic platforms: An experimental evaluation

J Cantizani-Estepa, J Bravo-Arrabal… - IEEE …, 2022 - ieeexplore.ieee.org
In the field of rescue robotics, data collection about the environment and efficient
communications are fundamental for the success of search and rescue missions …

TRACT: Towards large-scale crowdsensing with high-efficiency swarm path planning

Z Li, F Man, X Chen, B Zhao, C Wu… - Adjunct Proceedings of the …, 2022 - dl.acm.org
Unmanned Aerial Vehicle (UAV) sensing swarms have grown in popularity because of their
advantages of low-cost, high mobility, and high maneuverability in crowdsensing. The …

Real-time segmentation of desiccation cracks onboard UAVs for planetary exploration

J Galvez-Serna, N Mandel, J Sandino… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Planetary surfaces are a primary focus of space exploration. Some of the most challenging
current efforts in planetary exploration relate to the search for life, or biosignatures, in these …