Results 111 to 120 of about 302,063 (326)

MSGC-YOLO: An Improved Lightweight Traffic Sign Detection Model under Snow Conditions

Mathematics
Traffic sign recognition plays a crucial role in enhancing the safety and efficiency of traffic systems. However, in snowy conditions, traffic signs are often obscured by particles, leading to a severe decrease in detection accuracy.
Baoxiang Chen, Xinwei Fan
semanticscholar   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Does Familiarity breed inattention? Why drivers crash on the roads they know best [PDF]

, 2012
This paper describes our research into the nature of everyday driving, with a particular emphasis on the processes that govern driver behaviour in familiar, well - practiced situations.
Charlton, Samuel G., Starkey, Nicola J.
core  

Data Distillation for Traffic Sign Detection

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2, 2020
This work is devoted to the traffic sign detection on images using deep learning methods. We focus on the problem of detector transfer to new datasets with different road signs. We present an algorithm for distilling a set of unlabelled data to select the most informative images to be labeled.
Alexey Popov, Vlad Shakhuro, Anton Konushin   +2 more
openaire   +1 more source

Efficient Vision Transformer YOLOv5 for Accurate and Fast Traffic Sign Detection

Electronics
Accurate and fast detection of traffic sign information is vital for autonomous driving systems. However, the YOLOv5 algorithm faces challenges with low accuracy and slow detection when it is used for traffic sign detection. To address these shortcomings,
Guang Zeng, Zhizhou Wu, Lipeng Xu, Yunyi Liang   +3 more
semanticscholar   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

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

Advanced 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, Xiaoqing Zhao, Kai Jiang, Haixia Kang, Shuo Liu, Linlin Jiang, Baoshuai Bai, Haonan Cui, Ziyang Zhang, Menglei Dong, Ruizhi Zhang, Chenbo Zou, Shenghui Shang, Chi Zhang, Xiangchuang Fan, Lijuan Zhu, Huiquan Duan, Chuan Zhang, Shiqing Feng, Hengxing Zhou   +19 more
wiley   +1 more source

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

Advanced 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, Chris R. Bowen, Hamideh Khanbareh   +2 more
wiley   +1 more source

Chinese Traffic Sign Detection Algorithm in Natural Scenes [PDF]

Jisuanji gongcheng
This study proposes an improved YOLOv5 traffic sign detection algorithm to address detection accuracy and speed imbalance problems for Chinese traffic sign detection in natural scenes.
WANG Hanwen, GE Qing, ZHU Ningke, YU Pengfei
doaj   +1 more source

YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s

Electronics
In the realm of traffic sign detection, challenges arise due to the small size of objects, complex scenes, varying scales of signs, and dispersed objects. To address these problems, this paper proposes a small object detection algorithm, YOLOv8s-DDA, for
Meiqi Niu, Yajun Chen, Jianying Li, Xiaoyang Qiu, Wenhao Cai   +4 more
semanticscholar   +1 more source