Results 81 to 90 of about 302,063 (326)
Traffic-Sign-Detection Algorithm Based on SK-EVC-YOLO
Mathematics, 2023 Traffic sign detection is an important research direction in the process of intelligent transportation in the Internet era, and plays a crucial role in ensuring traffic safety. The purpose of this research is to propose a traffic-sign-detection algorithm
Faguo Zhou +5 more
doaj +1 more source
Fast detection of multiple objects in traffic scenes with a common detection framework
, 2015 Traffic scene perception (TSP) aims to real-time extract accurate on-road environment information, which in- volves three phases: detection of objects of interest, recognition of detected objects, and tracking of objects in motion.
Hengel, Anton van den +4 more
core +1 more source
DSRA-DETR: An Improved DETR for Multiscale Traffic Sign Detection
Sustainability, 2023 Traffic sign detection plays an important role in improving the capabilities of automated driving systems by addressing road safety challenges in sustainable urban living.
Jiaao Xia +3 more
semanticscholar +1 more source
Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Molecular Oncology, EarlyView.Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
Overview on Traffic Sign Detection
DEStech Transactions on Computer Science and Engineering, 2017 Traffic sign detection exists as the foundation and key issue for the traffic sign recognition system. Via the relevant literature review, this specific article tries to summarize the traffic sign development status and the corresponding existing problems.
Xin HE +3 more
openaire +2 more sources
Traffic Sign Detection Based on the Improved YOLOv5
Applied Sciences, 2023 With the advancement of intelligent driving technology, researchers are paying more and more attention to the identification of traffic signs. Although a detection method of traffic signs based on color or shape can achieve recognition of large ...
Rongyun Zhang +5 more
semanticscholar +1 more source
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
FEBS Open Bio, EarlyView.The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
, 2008 Táto bakalárska práca sa zaoberá detekciou dopravných značiek v obraze. Popisuje známe postupy, ich výhody a nevýhody. Je v nej uvedený popis implementácie systému pre detekciu dopravných značiek.
Ťapuška, Tomáš
core
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
, 2019 Most of the data manipulation attacks on deep neural networks (DNNs) during the training stage introduce a perceptible noise that can be catered by preprocessing during inference or can be identified during the validation phase. Therefore, data poisoning
Ahmed, Rehan +4 more
core +1 more source
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks
IEEE transactions on intelligent transportation systems (Print)Automatic detection of traffic signs is crucial for Advanced Driving Assistance Systems (ADAS). Current two-stage approaches consist of a preliminary object detection step, where the traffic signs are categorized within broader families (e.g., speed ...
Zhishan Li +6 more
semanticscholar +1 more source