Results 61 to 70 of about 21,157 (187)

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

open access: yesIEEE Transactions on Image Processing, 2023
10 pages, 7 ...
Chenxi Huang   +5 more
openaire   +3 more sources

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

open access: yesAdvanced 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

Lifting GIS Maps into Strong Geometric Context for Scene Understanding

open access: yes, 2016
Contextual information can have a substantial impact on the performance of visual tasks such as semantic segmentation, object detection, and geometric estimation.
Díaz, Raúl   +3 more
core   +1 more source

Terrestrial Cyborg Insects for Real‐Life Applications

open access: yesAdvanced 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

open access: yesAdvanced 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

GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB

open access: yes, 2017
We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence. Our tracking method combines a convolutional neural network with a kinematic 3D hand model, such that it generalizes well to unseen data, is ...
Bernard, Florian   +6 more
core   +1 more source

Exploring Geometric Consistency for Monocular 3D Object Detection

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
This paper investigates the geometric consistency for monocular 3D object detection, which suffers from the ill-posed depth estimation. We first conduct a thorough analysis to reveal how existing methods fail to consistently localize objects when different geometric shifts occur.
Lian, Qing   +4 more
openaire   +2 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

Geometry‐Guided Transformer for Monocular 3D Object Detection

open access: yesAdvanced Intelligent Systems
Monocular 3D object detection aims to identify objects’ 3D positions and poses with low hardware and computation power costs, which is crucial for scenarios like autonomous driving and deep space exploration.
Man Zhang   +4 more
doaj   +1 more source

Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review

open access: yesSensors, 2020
Monocular depth estimation from Red-Green-Blue (RGB) images is a well-studied ill-posed problem in computer vision which has been investigated intensively over the past decade using Deep Learning (DL) approaches. The recent approaches for monocular depth
Faisal Khan   +2 more
doaj   +1 more source

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