Results 61 to 70 of about 21,157 (187)
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
10 pages, 7 ...
Chenxi Huang +5 more
openaire +3 more sources
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
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
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
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
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
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 (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
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
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

