Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems-Reference-Cited by-同舟云学术

Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Jayasinghe Oshada¹,Hemachandra Sahan¹,Anhettigama Damith¹,Kariyawasam Shenali¹,Wickremasinghe Tharindu¹,Ekanayake Chalani¹,Rodrigo Ranga¹,Jayasekara Peshala¹

Affiliation:

1. University of Moratuwa,Department of Electronic and Telecommunication Engineering,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827355.pdf?arnumber=9827355

Reference36 articles.

1. On the importance of initialization and momentum in deep learning;sutskever;The 30th Int Conf Mach Learning,2013

2. MobileNetV2: Inverted Residuals and Linear Bottlenecks

3. Road sign detection and recognition system for real-time embedded applications

4. An overview of gradient descent optimization algorithms;ruder;arXiv preprint arXiv 1609 04802,2016

5. Traffic-Sign Detection and Classification in the Wild

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Traffic Sign-Based Speed Control for Autonomous Driving Systems Using YOLOv8;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. Traffic Sign Recognition and Auditory Alert System for Sri Lankan Drivers Using Deep-Learning;2024 International Research Conference on Smart Computing and Systems Engineering (SCSE);2024-04-04

3. A Coarse-to-Fine Deep Learning Based Framework for Traffic Light Recognition;IEEE Transactions on Intelligent Transportation Systems;2024

4. Analyzing Inference Workloads for Spatiotemporal Modeling;2024

5. Traffic Light Recognition using Convolutional Neural Networks: A Survey;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24