Hardware and software architecture of intelligent vehicles and road verification in typical traffic scenarios-Reference-Cited by-同舟云学术

Hardware and software architecture of intelligent vehicles and road verification in typical traffic scenarios

Published:2019-01-10 Issue:6 Volume:13 Page:960-966
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Gao Hongbo¹²,Yu Huilong³,Xie Guotao⁴,Ma Haitong¹,Xu Youchun⁵,Li Deyi⁶

Affiliation:

1. Department of Automotive Engineering and State Key Laboratory of Automotive Safety and EnergyTsinghua UniversityBeijing100084People's Republic of China

2. Department of Automotive Engineering and Centre for Intelligent Connected Vehicles and TransportationTsinghua UniversityBeijing100084People's Republic of China

3. Department of Mechanical and Mechatronics EngineeringUniversity of WaterlooWaterlooOntarioN2L3G1Canada

4. College of Mechanical and Vehicle Engineering and the State Key Laboratory of Advanced Design and Manufacturing for Vehicle BodyHunan UniversityChangshaPeople's Republic of China

5. Department of Basic CoursesArmy Military Transportation UniversityTianjin300161People's Republic of China

6. Department of Computer Science and TechnologyTsinghua UniversityBeijing100084People's Republic of China

Funder

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5351

Reference22 articles.

1. Cloud model approach for lateral control of intelligent vehicle systems;Gao H.;Sci. Program.,2016

2. Linear quadratic game and non‐cooperative predictive methods for potential application to modelling driver–AFS interactive steering control;Na X.;Veh. Syst. Dyn.,2013

3. Vehicle trajectory prediction by integrating physics‐and maneuver‐based approaches using interactive multiple models;Xie G.;IEEE Trans. Ind. Electron.,2017

4. Autonomous parking control for intelligent vehicles based on a novel algorithm;Gao H.;J. China Univ. Posts Telecommun.,2017

5. Hybrid‐learning‐based classification and quantitative inference of driver braking intensity of an electrified vehicle;Lv C.;IEEE Trans. Veh. Technol.,2018

Cited by 33 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. Exploring the emotional mechanism of consumer satisfaction in new energy vehicles: a dual-path model of intelligent and eco-friendly experiences;Frontiers in Psychology;2024-08-21

2. Smart Urban Traffic Management: Leveraging Automatic Control and Intelligent Systems for Improved Safety in Commercial Vehicle Road Banning Operations;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

3. Truck drivers’ views on the road safety benefits of advanced driver assistance systems and Intelligent Transport Systems in Tanzania;Journal on Multimodal User Interfaces;2024-08-03

4. Adaptive path planning for unknown environment monitoring;Journal of Ambient Intelligence and Smart Environments;2023-12-05

5. Driving Towards the Future: Exploring Human-Centered Design and Experiment of Glazing Projection Display Systems for Autonomous Vehicles;International Journal of Human–Computer Interaction;2023-05-10