• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

联网车辆的智能座舱:分类、架构、交互技术及未来发展方向

Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions.

作者信息

Gao Fei, Ge Xiaojun, Li Jinyu, Fan Yuze, Li Yun, Zhao Rui

机构信息

College of Automotive Engineering, Jilin University, Changchun 130025, China.

National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130025, China.

出版信息

Sensors (Basel). 2024 Aug 10;24(16):5172. doi: 10.3390/s24165172.

DOI:10.3390/s24165172
PMID:39204869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11358958/
Abstract

Highly integrated information sharing among people, vehicles, roads, and cloud systems, along with the rapid development of autonomous driving technologies, has spurred the evolution of automobiles from simple "transportation tools" to interconnected "intelligent systems". The intelligent cockpit is a comprehensive application space for various new technologies in intelligent vehicles, encompassing the domains of driving control, riding comfort, and infotainment. It provides drivers and passengers with safety, comfort, and pleasant driving experiences, serving as the gateway for traditional automobile manufacturing to upgrade towards an intelligent automotive industry ecosystem. This is the optimal convergence point for the intelligence, connectivity, electrification, and sharing of automobiles. Currently, the form, functions, and interaction methods of the intelligent cockpit are gradually changing, transitioning from the traditional "human adapts to the vehicle" viewpoint to the "vehicle adapts to human", and evolving towards a future of natural interactive services where "humans and vehicles mutually adapt". This article reviews the definitions, intelligence levels, functional domains, and technical frameworks of intelligent automotive cockpits. Additionally, combining the core mechanisms of human-machine interactions in intelligent cockpits, this article proposes an intelligent-cockpit human-machine interaction process and summarizes the current state of key technologies in intelligent-cockpit human-machine interactions. Lastly, this article analyzes the current challenges faced in the field of intelligent cockpits and forecasts future trends in intelligent cockpit technologies.

摘要

人与车、道路及云系统之间高度集成的信息共享,以及自动驾驶技术的飞速发展,推动了汽车从简单的“交通工具”向互联的“智能系统”演变。智能座舱是智能汽车中各种新技术的综合应用空间,涵盖驾驶控制、乘坐舒适性和信息娱乐等领域。它为驾驶员和乘客提供安全、舒适且愉悦的驾驶体验,是传统汽车制造业向智能汽车产业生态系统升级的关键。这是汽车智能化、网联化、电动化和共享化的最佳融合点。当前,智能座舱的形式、功能及交互方式正逐渐改变,从传统的“人适应车”观念向“车适应人”转变,并朝着“人车相互适应”的自然交互服务未来发展。本文综述了智能汽车座舱的定义、智能水平、功能领域和技术框架。此外,结合智能座舱中人机交互的核心机制,本文提出了智能座舱人机交互流程,并总结了智能座舱人机交互关键技术的现状。最后,本文分析了智能座舱领域当前面临的挑战,并预测了智能座舱技术的未来发展趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/e51245e75224/sensors-24-05172-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/a6339d140934/sensors-24-05172-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/9e1bc89f2620/sensors-24-05172-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/290e4e4efbdd/sensors-24-05172-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/9e23aad165e6/sensors-24-05172-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/63f730ae129d/sensors-24-05172-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/91b62079738a/sensors-24-05172-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/ff96c9032edd/sensors-24-05172-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/e51245e75224/sensors-24-05172-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/a6339d140934/sensors-24-05172-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/9e1bc89f2620/sensors-24-05172-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/290e4e4efbdd/sensors-24-05172-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/9e23aad165e6/sensors-24-05172-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/63f730ae129d/sensors-24-05172-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/91b62079738a/sensors-24-05172-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/ff96c9032edd/sensors-24-05172-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/11358958/e51245e75224/sensors-24-05172-g008.jpg

相似文献

1
Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions.联网车辆的智能座舱:分类、架构、交互技术及未来发展方向
Sensors (Basel). 2024 Aug 10;24(16):5172. doi: 10.3390/s24165172.
2
A comprehensive evaluation model for the intelligent automobile cockpit comfort.智能汽车座舱舒适性的综合评价模型。
Sci Rep. 2022 Sep 2;12(1):15014. doi: 10.1038/s41598-022-19261-x.
3
An evaluation model for automobile intelligent cockpit comfort based on improved combination weighting-cloud model.基于改进组合赋权-云模型的汽车智能座舱舒适性评价模型。
PLoS One. 2023 Mar 3;18(3):e0282602. doi: 10.1371/journal.pone.0282602. eCollection 2023.
4
Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain.物联网、边缘智能、5G 和区块链融合驱动的自动驾驶汽车。
Sensors (Basel). 2023 Feb 9;23(4):1963. doi: 10.3390/s23041963.
5
A new method to identifying optimal adjustment strategy when the car cockpit is uncomfortable: optimal state distance method.一种在汽车驾驶舱不舒服时识别最优调整策略的新方法:最优状态距离法。
PeerJ Comput Sci. 2023 Apr 6;9:e1324. doi: 10.7717/peerj-cs.1324. eCollection 2023.
6
Investigating the impact of HMI on drivers' merging performance in intelligent connected vehicle environment.研究人机界面在智能网联汽车环境下对驾驶员变道性能的影响。
Accid Anal Prev. 2024 Apr;198:107448. doi: 10.1016/j.aap.2023.107448. Epub 2024 Feb 9.
7
Determinants of Users' Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem.5G-V2X 移动生态系统中用户对智能网联汽车信息娱乐系统的态度和使用意愿的决定因素。
Int J Environ Res Public Health. 2021 Sep 25;18(19):10069. doi: 10.3390/ijerph181910069.
8
Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production.利用用于装配系统和生产线末端生产的联网自动驾驶车辆演示器优化工业运输。
Sci Rep. 2024 Apr 5;14(1):8019. doi: 10.1038/s41598-024-58627-1.
9
Safe, Efficient, and Comfortable Autonomous Driving Based on Cooperative Vehicle Infrastructure System.基于车路协同系统的安全、高效、舒适自动驾驶。
Int J Environ Res Public Health. 2023 Jan 3;20(1):893. doi: 10.3390/ijerph20010893.
10
Exploration of the intelligent control system of autonomous vehicles based on edge computing.基于边缘计算的自动驾驶智能控制系统探索。
PLoS One. 2023 Feb 2;18(2):e0281294. doi: 10.1371/journal.pone.0281294. eCollection 2023.

引用本文的文献

1
Development and Design of an Online Quality Inspection System for Electric Car Seats.电动汽车座椅在线质量检测系统的开发与设计
Sensors (Basel). 2024 Nov 3;24(21):7085. doi: 10.3390/s24217085.

本文引用的文献

1
Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review.使用智能手机监测分心驾驶行为:一项扩展的系统文献综述。
Sensors (Basel). 2023 Aug 29;23(17):7505. doi: 10.3390/s23177505.
2
Real-time monitoring of driver distraction: State-of-the-art and future insights.实时监测驾驶分神:现状与未来展望。
Accid Anal Prev. 2023 Nov;192:107241. doi: 10.1016/j.aap.2023.107241. Epub 2023 Aug 5.
3
Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection.基于 EEG 的驾驶疲劳检测的自注意通道连接胶囊网络。
IEEE Trans Neural Syst Rehabil Eng. 2023;31:3152-3162. doi: 10.1109/TNSRE.2023.3299156. Epub 2023 Aug 7.
4
Influence of lumbar support on tractor seat comfort based on body pressure distribution.基于身体压力分布的腰部支撑对拖拉机座椅舒适性的影响
PLoS One. 2023 Mar 22;18(3):e0282682. doi: 10.1371/journal.pone.0282682. eCollection 2023.
5
Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals.基于 EEG、ECG 和 EDA 信号的驾驶员注意力评估
Sensors (Basel). 2023 Feb 11;23(4):2039. doi: 10.3390/s23042039.
6
A Review of Human Performance Models for Prediction of Driver Behavior and Interactions With In-Vehicle Technology.驾驶员行为与车载技术交互的人类绩效模型预测综述
Hum Factors. 2024 Apr;66(4):1249-1275. doi: 10.1177/00187208221132740. Epub 2022 Oct 19.
7
The effects of stature, age, gender, and posture preferences on preferred joint angles after real driving.真实驾驶后,身高、年龄、性别和姿势偏好对关节角度偏好的影响。
Appl Ergon. 2022 Apr;100:103671. doi: 10.1016/j.apergo.2021.103671. Epub 2021 Dec 21.
8
Energy Autonomous Sweat-Based Wearable Systems.能量自供的基于汗液的可穿戴系统。
Adv Mater. 2021 Sep;33(35):e2100899. doi: 10.1002/adma.202100899. Epub 2021 Jul 11.
9
Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer.基于腕部佩戴加速度计的实时驾驶分心识别。
Hum Factors. 2022 Dec;64(8):1412-1428. doi: 10.1177/0018720821995000. Epub 2021 Feb 24.
10
Model construction and analysis of ride comfort for high-speed railway seat cushions.高速列车座椅坐垫乘坐舒适性建模与分析。
Work. 2021;68(s1):S223-S229. doi: 10.3233/WOR-208019.