Results 91 to 100 of about 26,254 (190)
Multi‐Task Learning for Airport Surface Surveillance: A Review
Expert Systems, Volume 43, Issue 4, April 2026.ABSTRACT The rapid growth of air transportation has surpassed the capabilities of traditional airport surveillance methods, such as visual observation and auxiliary equipment (e.g., ADS‐B, MLAT, radar), which struggle to provide all‐area, all‐weather situation awareness.
Daoyong Fu +6 more
wiley +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
, 2019 Monocular depth estimation is the task of obtaining a measure of distance for each pixel using a single image. It is an important problem in computer vision and is usually solved using neural networks.
Bogomolov, Pavel +4 more
core
Effect of field of view and monocular viewing on angular size judgements in an outdoor scene [PDF]
Observers typically overestimate the angular size of distant objects. Significantly, overestimations are greater in outdoor settings than in aircraft visual-scene simulators.
Denz, E. A., Ellis, S. R., Palmer, E. A.
core +1 more source
International Journal of Advanced Robotic Systems, 2020 An advanced driving assistant system is one of the most popular topics nowadays, and depth estimation is an important cue for advanced driving assistant system.
Haixia Wang +4 more
doaj +1 more source
Deep Learning-Based Stereopsis and Monocular Depth Estimation Techniques: A Review
VehiclesA lot of research has been conducted in recent years on stereo depth estimation techniques, taking the traditional approach to a new level such that it is in an appreciably good form for competing in the depth estimation market with other methods ...
Somnath Lahiri, Jing Ren, Xianke Lin
doaj +1 more source
Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation
IEEE Transactions on Pattern Analysis and Machine IntelligenceMonocular depth estimation, similar to other image-based tasks, is prone to erroneous predictions due to ambiguities in the image, for example, caused by dynamic objects or shadows. For this reason, pixel-wise uncertainty assessment is required for safety-critical applications to highlight the areas where the prediction is unreliable.
Julia Hornauer +2 more
openaire +3 more sources
Scale-Invariant Monocular Depth Estimation via SSI Depth
Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference PapersExisting methods for scale-invariant monocular depth estimation (SI MDE) often struggle due to the complexity of the task, and limited and non-diverse datasets, hindering generalizability in real-world scenarios. This is while shift-and-scale-invariant (SSI) depth estimation, simplifying the task and enabling training with abundant stereo datasets ...
S. Mahdi H. Miangoleh +2 more
openaire +2 more sources
Applied SciencesMonocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. However, predicting depth from a single image poses significant challenges, especially in dynamic scenes ...
Akmalbek Abdusalomov +4 more
doaj +1 more source