[1]
|
Embedded Real-Time System for Traffic Sign Recognition on ARM Processor
|
|
2020 |
|
|
[2]
|
МОДЕЛЬ И АЛГОРИТМЫ РАСПОЗНАВАНИЯ ДОРОЖНЫХ ЗНАКОВ
|
|
2020 |
|
|
[3]
|
Towards Next-Generation Vehicles Featuring the Vehicle Intelligence
|
|
2019 |
|
|
[4]
|
ارائه یک الگوریتم پردازش تصویر هوشمند جدید برای تشخیص و شناسایی علائم راهنمایی و رانندگی مبتنی بر منطق فازی
|
|
2018 |
|
|
[5]
|
Rancang Bangun Sistem Deteksi Rambu-Rambu Lalu Lintas Menggunakan Jaringan Syaraf Tiruan Berbasis Raspberry Pi
|
|
2018 |
|
|
[6]
|
Design of efficient embedded system for road sign recognition
|
|
Journal of Ambient Intelligence and Humanized Computing,
2018 |
|
|
[7]
|
AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN DETECTION ON LOW COST EMBEDDED SYSTEM
|
|
2018 |
|
|
[8]
|
Designing a New Intelligent Image Processing Algorithm for Traffic Sign Detection and Recognition Based on Fuzzy Logic
|
|
Amirkabir Journal of Mechanical Engineering,
2018 |
|
|
[9]
|
Computer vision for driving support systems: automatic traffic signs detection and proximity analysis
|
|
2018 |
|
|
[10]
|
Computer Vision System-On-Chip Designs for Intelligent Vehicles
|
|
2018 |
|
|
[11]
|
Resource Efficient Hardware Implementation for Real-Time Traffic Sign Recognition
|
|
2018 |
|
|
[12]
|
Road Traffic Sign Identification in Weak Illumination for Intelligent Vehicle Based on Machine Vision
|
|
Recent Patents on Mechanical Engineering,
2018 |
|
|
[13]
|
Hardware dedicado para sistemas empotrados de visión
|
|
2017 |
|
|
[14]
|
Real-Time Traffic Sign Classification Using Combined Convolutional Neural Networks
|
|
2017 |
|
|
[15]
|
Virtual Driver-Sistema de Reconhecimento de Sinalização Vertical de Trânsito
|
|
2017 |
|
|
[16]
|
Detection and recognition of traffic signs based on RGB to red conversion
|
|
2017 |
|
|
[17]
|
FPGA based real-time implementation of driver assistance system
|
|
2017 |
|
|
[18]
|
An Overview of Traffic Signs Recognition Methods
|
|
International Journal of Computer Applications,
2017 |
|
|
[19]
|
A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
|
|
International Journal of Automotive Engineering,
2017 |
|
|
[20]
|
Real-Time Embedded Implementation of Robust Speed-Limit Sign Recognition Using a Novel Centroid-to-Contour Description Method
|
|
IET Computer Vision,
2017 |
|
|
[21]
|
Real-time embedded system for traffic sign recognition based on ZedBoard
|
|
Journal of Real-Time Image Processing,
2017 |
|
|
[22]
|
Evaluation of Traffic Control Systems as ITS Infrastructure for Automated Driving
|
|
Intelligent Transport Systems – From Research and Development to the Market Uptake,
2017 |
|
|
[23]
|
Towards the development of flexible, reliable, reconfigurable, and high-performance imaging systems
|
|
2016 |
|
|
[24]
|
Low-complexity hardware architecture of traffic sign recognition with IHSL color space for advanced driver assistance systems
|
|
2016 |
|
|
[25]
|
Embedded system design for traffic sign recognition using machine learning algorithms
|
|
ProQuest Dissertations Publishing,
2016 |
|
|
[26]
|
Hardware implementation of fast traffic sign recognition for intelligent vehicle system
|
|
2016 |
|
|
[27]
|
Real-time hardware/software co-design of a traffic sign recognition system using Zynq FPGA
|
|
2016 |
|
|
[28]
|
Hardware implementation and validation of a traffic road sign detection and identification system
|
|
Journal of Real-Time Image Processing,
2016 |
|
|
[29]
|
Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain
|
|
Transport and Telecommunication,
2016 |
|
|
[30]
|
TRAFFIC SIGN DETECTION USING PCA AND ANN
|
|
2016 |
|
|
[31]
|
Real-time Speed Limit Traffic Sign Detection System for Robust Automotive Environments
|
|
IEIE Transactions on Smart Processing & Computing,
2015 |
|
|
[32]
|
High Accuracy and Simple Real-Time Circle Detection on Low-Cost FPGA for Traffic-Sign Recognition on Advanced Driver Assistance System
|
|
2015 |
|
|
[33]
|
Robust traffic sign recognition with feature extraction and k-NN classification methods
|
|
Electro/Information Technology (EIT), 2015 IEEE International Conference on,
2015 |
|
|
[34]
|
GCC-Plugin for Automated Accelerator Generation and Integration on Hybrid FPGA-SoCs
|
|
arXiv preprint arXiv:1509.00025,
2015 |
|
|
[35]
|
Traffic sign recognition based on prevailing bag of visual words representation on feature descriptors
|
|
Electro/Information Technology (EIT), 2015 IEEE International Conference on,
2015 |
|
|
[36]
|
FPGA based traffic sign detection for automotive camera systems
|
|
Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2015 10th International Symposium on,
2015 |
|
|
[37]
|
Hardware/Software Co-Design of a Traffic Sign Recognition System Using Zynq FPGAs
|
|
Electronics,
2015 |
|
|
[38]
|
Embedded system for road sign detection using MicroBlaze
|
|
Systems, Signals & Devices (SSD), 2015 12th International Multi-Conference on,
2015 |
|
|
[39]
|
基於田口法與 FPGA 平行運算辨識物件顏色之影像處理
|
|
虎尾科技大學機械與電腦輔助工程系碩士班學位論文,
2015 |
|
|
[40]
|
Novel approach for real time detection and classification based on template matching in video
|
|
Information Technology and Computer Applications Congress (WCITCA), 2015 World Congress on,
2015 |
|
|
[41]
|
New image processing algorithms for traffic signs recognition
|
|
INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING,
2015 |
|
|
[42]
|
IPPro: FPGA based image processing processor
|
|
2014 |
|
|
[43]
|
Real time road lane markers detection for intelligent vehicles
|
|
International Journal of Automotive Engineering,
2014 |
|
|
[44]
|
Real-time traffic sign recognition based on Zynq FPGA and ARM SoCs
|
|
Electro/Information Technology (EIT), 2014 IEEE International Conference on. IEEE,
2014 |
|
|
[45]
|
Morphological Classification for Traffic Sign Recognition
|
|
NULL
2014 |
|
|
[46]
|
OpenCV based road sign recognition on Zynq
|
|
Industrial Informatics (INDIN), 2013 11th IEEE International Conference on. IEEE,
2013 |
|
|
[47]
|
Real-time Traffic Sign detection and Recognition on FPGA
|
|
2013 |
|
|