《Automotive Innovation》

作品数：248被引量：398H指数：8
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《Automotive Innovation》
主办单位：中国汽车工程师学会
最新期次：2024年1期更多>>
发文主题：BASED_ONVEHICLESELECTRIC_VEHICLEAUTOMATEDLITHIUM-ION_BATTERY更多>>
发文领域：交通运输工程机械工程电气工程自动化与计算机技术更多>>
发文基金：国家自然科学基金中国博士后科学基金北京市自然科学基金重庆市自然科学基金更多>>
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Preface for Feature Topic on Human Driver Behaviours for Intelligent Vehicles被引量：1
《Automotive Innovation》2024年第1期1-3,共3页Dongpu Cao Argyrios Zolotas Meng Wang Mohammad Pirani Wenbo Li 
1 Introduction With the advancement of sensing,machine learning,and computing systems,automated driving applications have been growing rapidly worldwide.Together with the devel-opment of communication technologies suc...
关键词：DRIVER TOGETHER driving 
Review and Perspectives on Human Emotion for Connected Automated Vehicles被引量：1
《Automotive Innovation》2024年第1期4-44,共41页Wenbo Li Guofa Li Ruichen Tan Cong Wang Zemin Sun Ying Li Gang Guo Dongpu Cao Keqiang Li 
supported by Natural Science Foundation of China(52302497,52272420)。
The progression toward automated driving and the latest advancement in vehicular networking have led to novel and natural human-vehicle-road systems,in which affective human-vehicle interaction is a crucial factor aff...
关键词：Intelligent vehicles Intelligent cockpit Human-machine interaction Emotion recognition Emotion regulation 
Driver Steering Behaviour Modelling Based on Neuromuscular Dynamics and Multi‑Task Time‑Series Transformer
《Automotive Innovation》2024年第1期45-58,共14页Yang Xing Zhongxu Hu Xiaoyu Mo Peng Hang Shujing Li Yahui Liu Yifan Zhao Chen Lv 
Driver steering intention prediction provides an augmented solution to the design of an onboard collaboration mechanism between human driver and intelligent vehicle.In this study,a multi-task sequential learning frame...
关键词：Driver steering behaviours Neuromuscular dynamics Multi-task learning Sequential transformer Intelligent vehicles 
Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles
《Automotive Innovation》2024年第1期59-70,共12页Gergo Ferenc Igneczi Erno Horvath Roland Toth Krisztian Nyilas 
supported by the European Union within the framework of the National Laboratory for Autonomous Systems.(RRF-2.3.1-21-2022-00002).
Automated driving systems are often used for lane keeping tasks.By these systems,a local path is planned ahead of the vehicle.However,these paths are often found unnatural by human drivers.In response to this,this pap...
关键词：Naturalistic driving Identification Driver models Path planning 
A Hierarchical LSTM-Based Vehicle Trajectory Prediction Method Considering Interaction Information被引量：1
《Automotive Innovation》2024年第1期71-81,共11页Haitao Min Xiaoyong Xiong Pengyu Wang Zhaopu Zhang 
supported by the Jilin Province Science and Technology Development Program(20210301023GX).
Trajectory prediction is an essential component in autonomous driving systems,as it can forecast the future movements of surrounding vehicles,thereby enhancing the decision-making and planning capabilities of autonomo...
关键词：Autonomous vehicles Trajectory prediction Long Short-Term Memory Driving intention prediction 
Review of Electrical and Electronic Architectures for Autonomous Vehicles:Topologies,Networking and Simulators
《Automotive Innovation》2024年第1期82-101,共20页Wenwei Wang Kaidi Guo Wanke Cao Hailong Zhu Jinrui Nan Lei Yu 
supported by the National Key Research and Development Program of China(under Grant 2020YFB1600203);National Natural Science Foundation project(under Grant 52372374).
With the rapid development of autonomous vehicles,more and more functions and computing requirements have led to the continuous centralization in the topology of electrical and electronic(E/E)architectures.While certa...
关键词：Autonomous vehicles Electrical and electronic architectures TOPOLOGY NETWORKING Domain-oriented Zone-oriented 
Human-Machine Shared Lateral Control Strategy for Intelligent Vehicles Based on Human Driver Risk Perception Reliability被引量：1
《Automotive Innovation》2024年第1期102-120,共19页Dongjian Song Bing Zhu Jian Zhao Jiayi Han 
supported by the National Natural Science Foundation of China under Grant 52172386;the National Natural Science Foundation of China under Grant U22A20247;the Jilin Province Science and Technology Development Plan Projects under Grant 20210101057JC;the Jilin Provincial Department of Science and Technology under Grant 20220301009GX.
Intelligent vehicle(Ⅳ)technology has developed rapidly in recent years.However,achieving fully unmanned driving still presents numerous challenges,which means that human drivers will continue to play a vital role in ...
关键词：Intelligent vehicle Human-machine shared driving Risk perception Driving authority distribution 
LLTH‑YOLOv5:A Real‑Time Traffic Sign Detection Algorithm for Low‑Light Scenes被引量：3
《Automotive Innovation》2024年第1期121-137,共17页Xiaoqiang Sun Kuankuan Liu Long Chen Yingfeng Cai Hai Wang 
National Natural Science Foundation of China,U20A20331,Long Chen.
Traffic sign detection is a crucial task for autonomous driving systems.However,the performance of deep learning-based algorithms for traffic sign detection is highly affected by the illumination conditions of scenari...
关键词：Deep learning Traffic sign detection Low-light enhancement YOLOv5 Object detection 
In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification
《Automotive Innovation》2024年第1期138-149,共12页Haojie Ji Liyong Wang Hongmao Qin Yinghui Wang Junjie Zhang Biao Chen 
supported by the the Young Scientists Fund of the National Natural Science Foundation of China under Grant 52102447;by the Research Fund Project of Beijing Information Science&Technology University under Grant 2023XJJ33.
Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle networks.The transmission of information through in-vehicle networks needs to fo...
关键词：Classification algorithm Anomaly detection In-vehicle network Feature extraction Injecting attack 
Analysis and Optimization of Transient Mode Switching Behavior for Power Split Hybrid Electric Vehicle with Clutch Collaboration
《Automotive Innovation》2024年第1期150-165,共16页Dehua Shi Sheng Liu Yujie Shen Shaohua Wang Chaochun Yuan Long Chen 
funded by the National Natural Science Foundation of China(Grant No.51905219,No.52272368);the Postdoctoral Science Foundation of China(Grant No.2023M731444);the Young Elite Scientists Sponsorship Program by CAST(2020QNRC001);the Key Research and Development Program of Zhenjiang City(No.GY2021001);the Project of Faculty of Agricultural Equipment of Jiangsu University(No.NZXB20210103).
The power split hybrid electric vehicle(HEV)adopts a power coupling configuration featuring dual planetary gearsets and multiple clutches,enabling diverse operational modes through clutch engagement and disengagement....
关键词：Power split hybrid electric vehicle Transient mode switching Clutch collaboration Simulated annealing Powertrain model 
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