A comprehensive survey of unmanned aerial vehicles detection and classification using machine learning approach: Challenges, solutions, and future directions

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - Remote Sensing, 2024 - mdpi.com
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, map** and surveying …

Towards knowledge-driven autonomous driving

X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

An innovative segment anything model for precision poultry monitoring

X Yang, H Dai, Z Wu, RB Bist, S Subedi, J Sun… - … and Electronics in …, 2024 - Elsevier
In recent years, artificial intelligence (AI) advancements have greatly influenced the
agricultural industry, particularly with the emergence of large foundation models. One such …

[HTML][HTML] Real-time object detection based on uav remote sensing: A systematic literature review

Z Cao, L Kooistra, W Wang, L Guo, J Valente - Drones, 2023 - mdpi.com
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …

Large language models for uavs: Current state and pathways to the future

S Javaid, H Fahim, B He… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions

F Tlili, S Ayed, LC Fourati - Internet of Things, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart
cities and systems. However, the proliferation of UAVs has also brought a significant security …

Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing

HI Ashqar, A Jaber, TI Alhadidi, M Elhenawy - arxiv preprint arxiv …, 2024 - arxiv.org
This study aims to comprehensively review and empirically evaluate the application of
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …

[HTML][HTML] Unveiling Sustainability in ecommerce: GPT-Powered software for identifying sustainable product features

KI Roumeliotis, ND Tselikas, DK Nasiopoulos - Sustainability, 2023 - mdpi.com
In recent years, the concept of sustainability has gained significant attention across various
industries. Consumers are increasingly concerned about the environmental impact of the …