A Situation Knowledge Graph Construction Mechanism with Context-Aware Services for Smart Cockpit
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2390-4_21
Reference24 articles.
1. Sun, X., Chen, H., Shi, J., Guo, W., Li, J.: From HMI to HRI: human-vehicle interaction design for smart cockpit. In: Kurosu, M. (ed.) Human-Computer Interaction. Interaction in Context. HCI 2018. LNCS, vol. 10902, pp. 441–454. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91244-8_35
2. Liang, B., Tang, Z.: Multi-modal information analysis of automobile intelligent human-computer interaction. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds.) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. LNCS, vol 136, pp. 658–666. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05237-8_81
3. Meng, F., Zhu, X., et al.: Application and development of AI technology in automobile intelligent cockpit. In: 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI), pp. 274–280. IEEE (2022)
4. Li, W., et al.: Cogemonet: a cognitive-feature-augmented driver emotion recognition model for smart cockpit. IEEE Trans. Comput. Soc. Syst. 9(3), 667–678 (2021)
5. Lin, S., Zou, J., Zhang, C., Lai, X., Mao, N., Fu, H.: Understanding user requirements for smart cockpit of new energy vehicles: a natural language process approach. Tech. rep, SAE Technical Paper (2022)
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