Results 31 to 40 of about 195,073 (241)
Research on the Optimal Machine Learning Classifier for Traffic Signs [PDF]
SHS Web of Conferences, 2022 Now autonomous driving is a hot topic, and the identification of traffic signs is also extremely important for autonomous driving. This paper mainly compares the difference of the Support Vector Machine (SVM), Multilayer Perceptron (MLP), and Logistic ...
Wang Boyu
doaj +1 more source
The Urban Road Traffic Sign Detection & Recognition with Time Space Relationship Model
Sukkur IBA Journal of Emerging Technologies, 2021 Detection and recognition of urban road traffic signs is an important part of the Modern Intelligent Transportation System (ITS). It is a driver support function which can be used to notify and warn the driver for any possible incidence on the current ...
Bhutto Jaseem Ahmed +4 more
doaj +1 more source
Classification of rare traffic signs [PDF]
Компьютерная оптика, 2020 The paper studies the possibility of using neural networks for the classification of objects that are few or absent at all in the training set. The task is illustrated by the example of classification of rare traffic signs.
Boris Faizov +3 more
doaj +1 more source
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
, 2020 Deep neural networks (DNN) are known to be vulnerable to adversarial attacks. Numerous efforts either try to patch weaknesses in trained models, or try to make it difficult or costly to compute adversarial examples that exploit them.
Li, Bo +5 more
core +1 more source
Self-supervised few-shot learning for real-time traffic sign classification
IJAIN (International Journal of Advances in Intelligent Informatics)Although supervised approaches for traffic sign classification have demonstrated excellent performance, they are limited to classifying several traffic signs defined in the training dataset. This prevents them from being applied to different domains, i.e.
Anh-Khoa Tho Nguyen +3 more
doaj +1 more source
Wireless magnetic sensor network for road traffic monitoring and vehicle classification [PDF]
, 2016 Efficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools ...
Allen, Ben +3 more
core +3 more sources
Traffic Sign Detection and Recognition Using Multi-Frame Embedding of Video-Log Images
Remote Sensing, 2023 The detection and recognition of traffic signs is an essential component of intelligent vehicle perception systems, which use on-board cameras to sense traffic sign information.
Jian Xu, Yuchun Huang, Dakan Ying
doaj +1 more source
Sensors, 2022 In recent years, the development of self-driving cars and their inclusion in our daily life has rapidly transformed from an idea into a reality. One of the main issues that autonomous vehicles must face is the problem of traffic sign detection and ...
Eric Hsueh-Chan Lu +3 more
doaj +1 more source
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
, 2018 Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a staple challenge to solve the automatic recognition of Traffic and Hand-held ...
Kamran, Sharif Amit +2 more
core +1 more source
VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
, 2019 Although traffic sign detection has been studied for years and great progress has been made with the rise of deep learning technique, there are still many problems remaining to be addressed.
IEEE +8 more
core +1 more source