Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine vision based traffic sign detection methods: Review, analyses and perspectives
C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …
between automatic approaches and man-machine control systems, it is indispensable to …
Deep learning for large-scale traffic-sign detection and recognition
Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
FuzzyNet-based modelling smart traffic system in smart cities using deep learning models
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …
convenience and natural resource access are some of the factors that are making the need …
An implementation of real-time traffic signs and road objects detection based on mobile GPU platforms
Thanks to the rapid development of computer vision and deep learning technologies,
advanced driver assistance systems (ADAS) have recently become widespread. These …
advanced driver assistance systems (ADAS) have recently become widespread. These …
Traffic sign detection and recognition using fully convolutional network guided proposals
Detecting and recognizing traffic signs is a hot topic in the field of computer vision with lots of
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
Traffic sign recognition based on semantic scene understanding and structural traffic sign location
Traffic sign recognition (TSR) plays an important role in driving assistance system and traffic
safety insurance. However, existing methods focus on extracting features of traffic signs and …
safety insurance. However, existing methods focus on extracting features of traffic signs and …
[HTML][HTML] Improved traffic sign detection and recognition algorithm for intelligent vehicles
J Cao, C Song, S Peng, F **ao, S Song - Sensors, 2019 - mdpi.com
Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …
Traffic sign detection and recognition based on random forests
In this paper we present a new traffic sign detection and recognition (TSDR) method, which
is achieved in three main steps. The first step segments the image based on thresholding of …
is achieved in three main steps. The first step segments the image based on thresholding of …
YOLO-SG: Small traffic signs detection method in complex scene
Y Han, F Wang, W Wang, X Li, J Zhang - The Journal of Supercomputing, 2024 - Springer
Fast and accurate detection of traffic signs is crucial for the development of intelligent
transportation systems. To address the issue of false detection and missing detection of …
transportation systems. To address the issue of false detection and missing detection of …