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Guest Editorial: AI Applications to Intelligent Vehicles for Advancing Intelligent Transport Systems

2020 IET Intelligent Transport Systems  
Since 2014, he has published more than 30 journal papers, 10 conference papers, and one book.  ...  He serves as the reviewer from more than 20 known journals, and was awarded as an outstanding reviewer by Mechanical Systems and Signal Processing and Mechatronics in 2018.  ...  In 'Intelligent estimation for electric vehicle mass with unknown uncertainties based on particle filter', Sun et al. introduce a nonlinear particle filter to estimate the vehicle mass intelligently, and  ... 
doi:10.1049/iet-its.2020.0189 fatcat:7cgsidr4lfeqvd3ffjtmv4guwi

Sensor-Based Environmental Perception Technology for Intelligent Vehicles

Biyao Wang, Yi Han, Di Tian, Tian Guan, Haibin Lv
2021 Journal of Sensors  
Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the  ...  This paper discusses the intelligent vehicle perception technology and introduces the development status and control strategies of several important sensors such as machine vision, laser radar, and millimeter-wave  ...  Among them, the background subtraction method mainly includes a background model construction method based on the image pixel value [42] and a background model construction method based on the image  ... 
doi:10.1155/2021/8199361 fatcat:hw4m3ikkhfcstl33nxmdcdcxzu

Scanning the Issue

Petros Ioannou, A. V. Bal Balakrishnan
2018 IEEE transactions on intelligent transportation systems (Print)  
Possible challenges and complexities faced by mass-market commercial GNSS receivers in urban canyons are highlighted.  ...  Analysis from the aspects of productivity, topics, citations, usage, and coauthorship networks is presented.  ...  A machine learning classifier based on a support vector machine is then applied to deduce the behavior of nearby vehicles.  ... 
doi:10.1109/tits.2018.2866887 fatcat:3brvnbxecnegbdwnf5f56cg4ey

Sensors and System for Vehicle Navigation

Andrzej Stateczny, Witold Kazimierski, Pawel Burdziakowski
2022 Sensors  
In recent years, vehicle navigation, in particular autonomous navigation, has been at the center of several major developments, both in civilian and defense applications [...]  ...  Conflicts of Interest: The authors declare no conflict of interest.  ...  Acknowledgments: We would like to thank all the authors who contributed to the Special Issue and the staff in the editorial office.  ... 
doi:10.3390/s22051723 pmid:35270870 pmcid:PMC8914871 fatcat:45pdtcozobgpbosluyuus3ywny

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Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Early work has been done on descriptive and qualitative models of behavior, but much work is still needed to translate them into quantitative algorithms for practical AV control.  ...  Planning autonomous vehicles' (AVs) actions in the presence of pedestrians requires modeling of their probable future behavior as well as detecting and tracking them.  ...  Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion Z.  ... 
doi:10.1109/tits.2021.3104912 fatcat:jy6vxumv2bg6feqdzpffik2y4e

MetaVehicles in the Metaverse: Moving to a New Phase for Intelligent Vehicles and Smart Mobility

Fei-Yue Wang
2022 IEEE Transactions on Intelligent Vehicles  
"Online Optimization of Gear Shift and Velocity for Eco-Driving Using Adaptive Dynamic Programming" by Guoqiang Li, Daniel Gorges, and Meng Wang In this paper a learning-based optimization method for  ...  For this reason, many machine learning approaches have been developed and applied.  ... 
doi:10.1109/tiv.2022.3154489 fatcat:tp6wphaeara4jjlyg33ecyzl4a

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
., +, TITS July 2020 2930-2942 Machine learning A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety.  ...  ., +, TITS June 2020 2437-2448 Panic Propagation Dynamics of High-Density Crowd Based on Information Entropy and Aw-Rascle Model.  ...  R Radar clutter Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood-Estimator in SAR Imagery. Ai, J., 2039 -2049  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

On the Integration of Enabling Wireless Technologies and Sensor Fusion for Next-Generation Connected and Autonomous Vehicles

Faran Awais Butt, Jawwad Nasar Chattha, Jameel Ahmad, Muhammad Umer Zia, Muhammad Rizwan, Ijaz Haider Naqvi
2022 IEEE Access  
INDEX TERMS Sensor fusion, inter-vehicle communication, intra-vehicle communication, environment sensing, road safety, internet of vehicles, connected and autonomous vehicles, 5G networks I.  ...  For each of these themes, research challenges and future directions have been identified.  ...  , Storage and lastly, Computing. 5) Machine Learning in CAV: Machine learning, a data-driven intelligence tool, is being widely employed to solve complex and dynamic problems associated with communication  ... 
doi:10.1109/access.2022.3145972 fatcat:lafduphuona2neb3vkbn2y67gu

Pressure Estimation of the Electro-Hydraulic Brake System Based on Signal Fusion

Biaofei Shi, Lu Xiong, Zhuoping Yu
2021 Actuators  
At present, the master cylinder pressure estimation algorithm (MCPE) of electro-hydraulic brake systems (EHB) based on vehicle dynamics has the disadvantages of poor condition adaptability, and there are  ...  For the above reasons, neither method be applied to engineering. In this regard, this article proposes a MCPE that is based on signal fusion.  ...  Acknowledgments: The authors are thankful for the support of the School of Automotive Studies and the IIV (Institute of Intelligent Vehicle) of Tongji University and Tongyu Automobile Technology Co., Ltd  ... 
doi:10.3390/act10090240 fatcat:yncupyzsrvee7ejv45om3lbhve

2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22

2021 IEEE transactions on intelligent transportation systems (Print)  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TITS Nov. 2021 7279-7292 Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning.  ... 
doi:10.1109/tits.2021.3139738 fatcat:p2mkawtrsbaepj4zk24xhyl2oa

Table of contents

2007 2007 IEEE Conference on Advanced Video and Signal Based Surveillance  
and Tracking Multiple Persons for Proactive Surveillance of Mass Transport Systems 159 Vehicular Traffic Density Estimation via Statistical Methods with Automated State Learning 164 Tatsuya Osawa, Xiaojun  ...  Wu, Kyoko Sudo, Kaoru Wakabayashi, Hiroyuki Arai, Takayuki Yasuno Tracking by Using Dynamic Shape Model Learning in the Presence of Occlusion 230 Thu-SS2A: i-Lids challenge Detection of Temporal Static  ...  3-D model-based people detection & tracking 579 Giovanni Garibotto Author index 585  ... 
doi:10.1109/avss.2007.4425270 fatcat:4iz6xfdjknc5vbh4kpds4oocpm

Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment

Haibo Yan, Rahim Khan
2022 Computational Intelligence and Neuroscience  
The vehicle dynamics model is established under multiconditional assumptions, the path planner and path tracking controller are designed based on the model predictive control algorithm, and the local desired  ...  The behavioral decision algorithm based on finite state machine reasonably transforms the driving state according to the environmental changes, realizes the following of the target vehicle speed, and can  ...  estimation models, models based on vehicle-road cooperation technology or vehicle-vehicle communication technology, models based on intelligent learning, models based on optimal control technology, and  ... 
doi:10.1155/2022/4390394 pmid:35761870 pmcid:PMC9233616 fatcat:mdqxdf3nyneb7nvfh2spblp2a4

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
As the development of both robust methods and novel metrics depends on having access to large-scale driving datasets, a comprehensive and comparative study of 54 publicly available datasets for autonomous  ...  The datasets repository is available at: https://sites.google.com/view/driveability-survey-dataset Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends M. Veres and M.  ...  Pinardi VISIR is a ship routing model based on a graph-search method. It can compute time-optimal routes in dynamic wave fields.  ... 
doi:10.1109/tits.2020.3008809 fatcat:etol5qoilvdnbj6gtjxk3gheaa

Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System [article]

Swarnamugi.M, Chinnaiyan.R
2021 arXiv   pre-print
Also to shed light on impact of Internet of Things and machine learning in Intelligent Transportation System development.  ...  The objective of this research paper is to highlight context and its features in ITS and to address the applicability of modelling techniques and reasoning approaches in Intelligent Transportation System  ...  ) to shed light on impact of machine learning and IoT in ITS.  ... 
arXiv:2107.14374v1 fatcat:whe2kjexingwvnacpw7iz7ecrm

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
Then machine learning and blockchain techniques as novel defense mechanisms are explored to enhance the security of vehicular networks.  ...  The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research.  ...  A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection Z. Zheng, M. Zhou, Y. Chen, M. Huo, L. Sun, S. Zhao, and D.  ... 
doi:10.1109/tits.2022.3141513 fatcat:gvywr655cvgolg7rfjrqmt33b4
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