Challenges and countermeasures of interaction in autonomous vehicles
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/02/22
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Indian UGC (journal)
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Refrences6
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Citations5
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Deyi Li
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Meng Liu
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Fei Zhao
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Yu Liu
Cite
Li, Deyi, et al. “Challenges and Countermeasures of Interaction in Autonomous Vehicles”. Science China Information Sciences, vol. 62, no. 5, 2019, https://doi.org/10.1007/s11432-018-9766-3.
Li, D., Liu, M., Zhao, F., & Liu, Y. (2019). Challenges and countermeasures of interaction in autonomous vehicles. Science China Information Sciences, 62(5). https://doi.org/10.1007/s11432-018-9766-3
Li, Deyi, Meng Liu, Fei Zhao, and Yu Liu. “Challenges and Countermeasures of Interaction in Autonomous Vehicles”. Science China Information Sciences 62, no. 5 (2019). https://doi.org/10.1007/s11432-018-9766-3.
Li D, Liu M, Zhao F, Liu Y. Challenges and countermeasures of interaction in autonomous vehicles. Science China Information Sciences. 2019;62(5).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1109/JPROC.2018.2841339 | Proceedings of the IEEE |
| 2018 | |
| 10.1108/IR-05-2015-0095 | 2016 | |||
| A vision of our transport future | Nature |
| 149 | 2013 |
| 10.1007/978-0-85729-085-4 | 2012 | |||
| Proceedings of AAAI Spring Symposia | 2016 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence | International Journal of Social Robotics |
| 4 | 2023 |
A Car-Following Model Based on Trajectory Data for Connected and Automated Vehicles to Predict Trajectory of Human-Driven Vehicles | Sustainability |
| 12 | 2022 |
| Distributed multilane merging for connected autonomous vehicle platooning | Science China Information Sciences |
| 7 | 2021 |
| Optimal car-following control for intelligent vehicles using online road-slope approximation method | Science China Information Sciences |
| 17 | 2020 |
| Motion trajectory prediction based on a CNN-LSTM sequential model | Science China Information Sciences |
| 75 | 2020 |
Citations Analysis
The category
Science: Science (General): Cybernetics: Information theory 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Motion trajectory prediction based on a CNN-LSTM sequential model and was published in 2020. The most recent citation comes from a 2023 study titled Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence. This article reached its peak citation in 2020, with 2 citations. It has been cited in 3 different journals. Among related journals, the Science China Information Sciences cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.