Depth estimation and image restoration by deep learning from defocused images

S Nazir, L Vaquero, M Mucientes… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Monocular depth estimation and image deblurring are two fundamental tasks in computer
vision, given their crucial role in understanding 3D scenes. Performing any of them by …

Applications of computer vision in autonomous vehicles: Methods, challenges and future directions

X Dong, ML Cappuccio - arXiv preprint arXiv:2311.09093, 2023 - arxiv.org
Autonomous vehicle refers to a vehicle capable of perceiving its surrounding environment
and driving with little or no human driver input. The perception system is a fundamental …

[HTML][HTML] Visual SLAM for Unmanned Aerial Vehicles: Localization and Perception

L Zhuang, X Zhong, L Xu, C Tian, W Yu - Sensors, 2024 - mdpi.com
Localization and perception play an important role as the basis of autonomous Unmanned
Aerial Vehicle (UAV) applications, providing the internal state of movements and the …

Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation

V Karampinis, A Arsenos, O Filippopoulos… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

DSC-MDE: Dual structural contexts for monocular depth estimation

W Yan, L Dong, W Ma, Q Mi, H Zha - Knowledge-Based Systems, 2023 - Elsevier
Geometric and semantic contexts are essential to solving the ill-posed problem of monocular
depth estimation (MDE). In this paper, we propose a deep MDE framework that can …

FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edge

D ZiWen, L YuQi, Y Dong - Applied Intelligence, 2023 - Springer
Monocular depth estimation (MDE) is critical in enabling intelligent autonomous systems
and has received considerable attention in recent years. Achieving both low latency and …

Lightweight monocular depth estimation with an edge guided network

X Dong, MA Garratt, SG Anavatti… - … , Robotics and Vision …, 2022 - ieeexplore.ieee.org
Monocular depth estimation is an important task that can be applied to many robotic
applications. Existing methods focus on improving depth estimation accuracy via training …

SISC: A Feature Interaction-Based Metric for Underwater Image Quality Assessment

X Chu, R Hu, Y Liu, J Cao, L Xu - IEEE Journal of Oceanic …, 2023 - ieeexplore.ieee.org
Underwater images are important in a range of image-driven applications, such as marine
biology and underwater surveillance. However, underwater imaging is subject to several …

From a visual scene to a virtual representation: a cross-domain review

A Pereira, P Carvalho, N Pereira, P Viana… - IEEE …, 2023 - ieeexplore.ieee.org
The widespread use of smartphones and other low-cost equipment as recording devices,
the massive growth in bandwidth, and the ever-growing demand for new applications with …

[HTML][HTML] Synthetic Data Enhancement and Network Compression Technology of Monocular Depth Estimation for Real-Time Autonomous Driving System

W Jun, J Yoo, S Lee - Sensors, 2024 - mdpi.com
Accurate 3D image recognition, critical for autonomous driving safety, is shifting from the
LIDAR-based point cloud to camera-based depth estimation technologies driven by cost …