scholarly journals Research on key technologies of intelligent transportation based on image recognition and anti-fatigue driving

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Jun Wang ◽  
Xiaoping Yu ◽  
Qiang Liu ◽  
Zhou Yang
Keyword(s):  
Image Recognition ◽  
Intelligent Transportation ◽  
Key Technologies ◽  
Fatigue Driving

scholarly journals Key technologies of intelligent transportation based on image recognition

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091727
Author(s):  
Zeyou Chen ◽  
Yangyang Su ◽  
Yong Liu ◽  
Jiazhen Huang ◽  
Wuwen Cao
Keyword(s):  
Image Recognition ◽  
Template Matching ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Recognition System ◽  
Transportation System ◽  
Vertical Projection ◽  
Plate Number ◽  
Number Recognition ◽  
Key Technologies

With the development of economy, the research of urban intelligent transportation system is becoming more and more important. The research and development of plate number recognition system is an important factor to realize the intelligence and modernization of transportation system. It uses each car to have a unique plate number and recognizes the vehicle number through the vehicle image captured by the camera. On the basis of image recognition, this article takes plate number image as the research object and discusses the key technologies of plate number recognition system. First, this article uses image preprocessing technology to process images to improve image quality. Second, the plate number location algorithm based on the connected region search is analyzed. According to the characteristics of the plate number itself, the regional features of the plate number are extracted to locate the plate number accurately. Then, an improved vertical projection-based plate number character segmentation method is proposed to segment plate number characters. Finally, combined with character characteristics, the template matching method is used to recognize plate number characters. The simulation results show that, on the basis of image recognition, this article studies the key technologies of plate number recognition system, which effectively improves the performance of the system and makes the recognition of plate number more effective and accurate.

A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks

2021 ◽  
Vol 12 (4) ◽  
pp. 1-30
Author(s):  
Zhenchang Xia ◽  
Jia Wu ◽  
Libing Wu ◽  
Yanjiao Chen ◽  
Jian Yang ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Key Technologies ◽  
Comprehensive Survey ◽  
Hoc Networks ◽  
Graph Neural Networks

Vehicular ad hoc networks ( VANETs ) and the services they support are an essential part of intelligent transportation. Through physical technologies, applications, protocols, and standards, they help to ensure traffic moves efficiently and vehicles operate safely. This article surveys the current state of play in VANETs development. The summarized and classified include the key technologies critical to the field, the resource-management and safety applications needed for smooth operations, the communications and data transmission protocols that support networking, and the theoretical and environmental constructs underpinning research and development, such as graph neural networks and the Internet of Things. Additionally, we identify and discuss several challenges facing VANETs, including poor safety, poor reliability, non-uniform standards, and low intelligence levels. Finally, we touch on hot technologies and techniques, such as reinforcement learning and 5G communications, to provide an outlook for the future of intelligent transportation systems.

The Overall Structure of IOV and the Research of the Unsolved Key Technology of IOV in Intelligent Transportation System

2014 ◽  
Vol 721 ◽  
pp. 52-55 ◽  
Author(s):  
Fan Li ◽  
Yang Jian ◽  
Ran Zhao
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Internet Of Vehicles ◽  
Key Technology ◽  
Key Technologies

Internet of Vehicles is the basis of the application of intelligent transportation system .This article has carried on the analysis and discussion about the concept of IOV, overall structure and the key technologies which are desperately need to be solved to promote application and development of IOV system.

A Study on the System Architecture and Key Technologies of Telematics Based on 3G

2013 ◽  
Vol 756-759 ◽  
pp. 1220-1224
Author(s):  
Li Fang Tang ◽  
Chuan Jin Wang
Keyword(s):  
Internet Of Things ◽  
System Architecture ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Key Technologies ◽  
Internet Of Things Technology ◽  
At Home

Telematics, the application of Internet of Things technology in the intelligent transportation system, has attracted keen attention of research mechanism at home and abroad. By introducing the basic conception of Telematics, the paper makes a summary and research on the technologies adopted in the system architecture of Telematics and put an emphasis on the solution of some key technologies.

scholarly journals Research on Fatigue Driving Monitoring Model and Key Technologies Based on Multi-input Deep Learning

2020 ◽  
Vol 1648 ◽  
pp. 022112 ◽  
Author(s):  
Jinfeng Liu ◽  
Guang Li ◽  
Jiyan Zhou ◽  
Dunlu Lu ◽  
Bingchu Chen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Monitoring Model ◽  
Key Technologies ◽  
Fatigue Driving

Key Technologies of Intelligent Transportation Based on Image Recognition and Optimization Control

2020 ◽  
Vol 34 (10) ◽  
pp. 2054024
Author(s):  
Mingxia Huang ◽  
Xuebo Yan ◽  
Zhu Bai ◽  
Haiqiang Zhang ◽  
Zeen Xu
Keyword(s):  
Image Processing ◽  
Data Analysis ◽  
Image Recognition ◽  
Intelligent Systems ◽  
Rapid Development ◽  
Intelligent Transportation ◽  
State Data ◽  
Adaboost Algorithm ◽  
Optimization Control ◽  
Traffic Operation

With the development of digital image processing technology, the application scope of image recognition is more and more wide, involving all aspects of life. In particular, the rapid development of urbanization and the popularization and application of automobiles in recent years have led to a sharp increase in traffic problems in various countries, resulting in intelligent transportation technology based on image processing optimization control becoming an important research field of intelligent systems. Aiming at the application demand analysis of intelligent transportation system, this paper designs a set of high-definition bayonet systems for intelligent transportation. It combines data mining technology and distributed parallel Hadoop technology to design the architecture and analysis of intelligent traffic operation state data analysis. The mining algorithm suitable for the system proves the feasibility of the intelligent traffic operation state data analysis system with the actual traffic big data experiment, and aims to provide decision-making opinions for the traffic state. Using the deployed Hadoop server cluster and the AdaBoost algorithm of the improved MapReduce programming model, the example runs large traffic data, performs traffic analysis and speed–overspeed analysis, and extracts information conducive to traffic control. It proves the feasibility and effectiveness of using Hadoop platform to mine massive traffic information.

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