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Research on a high-performance domestic intelligent cockpit interaction platform

Published: 05 February 2024 Publication History

Abstract

With the continuous development of intelligent and networked processes in the automotive industry, consumers' understanding of cars has gradually changed from a means of transportation to a third space connecting home and office. Due to the scattered function layout of the traditional car cockpit, the human-computer interaction experience of mechanical instruments and vehicle infotainment is poor, and it has been unable to meet the needs of consumers for intelligent car cabins. The development of artificial intelligence, vehicle networking technology, automotive chips and operating systems has gradually promoted the automotive cockpit to the intelligent cockpit with multi-screen linkage and human-computer interaction as the core. In addition, the Sino-US trade war, the shortage of foreign chips, information security and other factors also put forward requirements for the development of domestic cockpit platforms.
This paper presents a high performance domestic intelligent cockpit controller and a perfect human-computer interaction platform. The scheme uses the main chip SemiDrive company X9HP platform as a domestic substitute, and the domain controller products have been designed and passed the industry's Class5 EMC (Electromagnetic Compatibility) high reliability test. On this basis to achieve rich and perfect human-machine interaction functions, enough to meet the needs of the current mainstream cabin products. The localization rate of the platform is as high as 60%, which is a highly reliable domestic solution that meets the mass production conditions, and plays an important role in the establishment of domestic resource base.

References

[1]
Wang, L. Pang, Y. Wang, Y., "Discussion on the Experience and Future Trends of the Smart Cockpit HMI Human-computer Interaction Interface," Auto Time, Issue 3, 2021,15-17,20.
[2]
Shewchuk,D.HARMAN Demonstrates Advanced Connected Car Platform for Industry Leading Intelligent Cockpit,” HARMAN International, https://news.harman.com/releases/harman-demonstrates-advanced-connected-car-platformfor-industry-leading-intelligent-cockpit
[3]
Chen, H., “From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit,” International Conference on Human-Computer Interaction July 2018.
[4]
Liu, Y., "Intelligent Cockpit Trend Research." Guangdong Chemical Industry,2019.
[5]
Bowler, B. M. "HMI and Driver Distraction.".
[6]
Sun,X Li,T, "Survey of Studies Supporting the Use of In-Air Gesture in Car HMI." User Friendly 2014 Proceedings of the 11th Annual UXPA China User Experience Industry Conference, 2014.
[7]
Chadowitz, R., “User experience of driver state visualizations: A look at demographics and personalities”, International Conference on Human-Computer Interaction, (2019):158–176. 9
[8]
Zhang, T. etal “Drivers attitudes, preference, and acceptance of in-vehicle anger intervention systems and their relationships to demographic and personality characteristics,” International Journal of Industrial Ergonomics 75(2020): 9.
[9]
Automated Driving: Levels of Driving Automation as per SAE International Standard J3016. Available online: https://www.sae.org/standards/content/j3016_201806/ (accessed on 29 December 2020).

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        CECCT '23: Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology
        November 2023
        266 pages
        ISBN:9798400716300
        DOI:10.1145/3637494
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Association for Computing Machinery

        New York, NY, United States

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        Published: 05 February 2024

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