Results 91 to 100 of about 264,006 (281)

A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

open access: yesSensors, 2020
Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in detecting and recognizing traffic signs in real-time.
Mingyu Gao   +5 more
doaj   +1 more source

Moth‐Wing‐Inspired Multifunctional Metamaterials

open access: yesAdvanced Materials, EarlyView.
This study develops a moth‐wing‐inspired heterogeneous metamaterial that achieves synergistic broadband sound absorption, mechanical energy dissipation, and thermal insulation within a lightweight architected framework. Combining bioinspired gradient design, genetic‐algorithm optimization, and additive manufacturing, the bionic heterogeneous acoustic ...
Haoran Pei   +12 more
wiley   +1 more source

Traffic and road sign recognition [PDF]

open access: yes, 2008
This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers' tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle.
openaire   +1 more source

Serotonergic System‐Targeted Nucleic Acid Hydrogel Coordinates Excitability Restoration and Circuit Reconstruction for Spinal Cord Injury Therapy

open access: yesAdvanced Materials, EarlyView.
The study reports a DNA/RNA heteroduplex hydrogel (SeroPTEN‐CG) that undergoes DNase‐mediated hydrogel‐to‐nanogel transition for spinal cord injury therapy by targeting the serotonergic system, combining 5‐hydroxytryptamine (5‐HT)‐mediated excitability restoration to reactivate dormant interneurons with phosphatase and tensin homolog (PTEN)‐targeted ...
Chunlin Li   +19 more
wiley   +1 more source

Piezoelectric Stimulation of Neural Cells: Exploring the Synergistic Potential of Hybrid Scaffolds for Enhanced Regeneration

open access: yesAdvanced Materials Interfaces, EarlyView.
Hybrid piezoelectric scaffolds offer a promising route for Central Nervous System regeneration by combining structural and electrical cues to support neural stem cell growth. This review highlights their potential to overcome current challenges in neural tissue engineering by exploring porous hybrid materials, their biological interactions, and ...
Heather F. Titterton   +2 more
wiley   +1 more source

Classification of Degraded Traffic Signs Using Flexible Mixture Model and Transfer Learning

open access: yesIEEE Access, 2019
Automatic detection and recognition of traffic signs is a topic of research for various applications like driver assistance, inventory management and autonomous driving. Poorly maintained traffic signs degrade by losing their colors or some part is weird
Abdul Mannan   +4 more
doaj   +1 more source

Recognition of Supplementary Signs for Correct Interpretation of Traffic Signs

open access: yes, 2013
International audienceTraffic Sign Recognition (TSR) is now relatively well-handled by several approaches. However, traffic signs are often completed by one (or several) supplementary placed below.
Moutarde, Fabien   +2 more
core   +1 more source

Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation

open access: yes, 2018
We propose a convolutional network with hierarchical classifiers for per-pixel semantic segmentation, which is able to be trained on multiple, heterogeneous datasets and exploit their semantic hierarchy.
Dubbelman, Gijs, Meletis, Panagiotis
core   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

open access: yesAdvanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam   +7 more
wiley   +1 more source

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