Results 61 to 70 of about 26,254 (190)
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
, 2018 In the last decade, many medical companies and research groups have tried to convert passive capsule endoscopes as an emerging and minimally invasive diagnostic technology into actively steerable endoscopic capsule robots which will provide more ...
Almalioglu, Yasin +6 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Accurate unsupervised monocular depth estimation for ill-posed region
Frontiers in Physics, 2023 Unsupervised monocular depth estimation is challenging in ill-posed regions, such as weak texture scenes, projection occlusion, and redundant error of detail information, etc.
Xiaofeng Wang +6 more
doaj +1 more source
Self-Supervised Relative Depth Learning for Urban Scene Understanding
, 2018 As an agent moves through the world, the apparent motion of scene elements is (usually) inversely proportional to their depth. It is natural for a learning agent to associate image patterns with the magnitude of their displacement over time: as the agent
A Geiger +15 more
core +1 more source
Advanced Intelligent Systems, EarlyView.During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation
, 2017 In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications.
Ciarfuglia, Thomas A. +3 more
core +1 more source
Terrestrial Cyborg Insects for Real‐Life Applications
Advanced Intelligent Systems, EarlyView.This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source
Semi‐autonomous Navigation of Magnetic Microcarriers for Knee Cartilage Regeneration
Advanced Intelligent Systems, EarlyView.Autonomous navigation of magnetic microcarriers in complex 3D environments is investigated through a semi‐autonomous strategy integrating magnetic actuation with monocular visual feedback. Real‐time global tracking is achieved via radio‐frequency‐based localization and depth estimation, while model‐based computation determines optimal steering forces ...
Kim Tien Nguyen +3 more
wiley +1 more source
Remote SensingMonocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation.
Junwei Lv +5 more
doaj +1 more source
Bayesian depth estimation from monocular natural images
Journal of Vision, 2017 Estimating an accurate and naturalistic dense depth map from a single monocular photographic image is a difficult problem. Nevertheless, human observers have little difficulty understanding the depth structure implied by photographs. Two-dimensional (2D) images of the real-world environment contain significant statistical information regarding the ...
Che-Chun, Su +2 more
openaire +2 more sources