Review and Perspectives on Human Emotion for Connected Automated Vehicles

W Li, G Li, R Tan, C Wang, Z Sun, Y Li, G Guo… - Automotive …, 2024 - Springer
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 …

Towards autonomous vehicles: a survey on cooperative vehicle-infrastructure system

JI Yangjie, Z Zewei, Y Ziru, Y Huang, Y Zhang… - Iscience, 2024 - cell.com
SUMMARY Cooperative Vehicle-Infrastructure System (CVIS) is an important part of the
intelligent transport system (ITS). Autonomous vehicles have the potential to improve safety …

[HTML][HTML] 基于车路云一体化的混合交通系统优化控制综述

左志强, 刘正璇, 王一晶 - 控制与决策, 2023 - kzyjc.alljournals.cn
汽车行业正在进行智能化与网联化的发展变革, 智能网联汽车的出现使交通管理者找到缓解交通
拥堵, 提高道路安全以及减少能源消耗的一种解决方案. 对此, 调研混合交通流模型 …

Intelligent Cockpit for Intelligent Connected Vehicles: Definition, Taxonomy, Technology and Evaluation

W Li, D Cao, R Tan, T Shi, Z Gao, J Ma… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As a new round of technological revolution and industrial transformation accelerates,
intelligent connected vehicles have emerged as carriers for advanced technology …

考虑系统复杂扰动的智能车模型预测路径跟踪控制

关龙新, 顾祖飞, 张超, 王爱春, 彭晨若, 江会华… - 汽车 …, 2022 - qichegongcheng.com
智能车路径跟踪控制面临系统模型简化, 参数不确定, 执行器与传感器信号延时及道路曲率变化
等干扰, 将产生系统扰动误差, 导致跟踪精度降低. 本文针对性提出一种考虑跟踪系统复杂扰动的 …

Molecular Dynamics-Based Car-Following Safety Characteristics and Modeling for Connected Autonomous Vehicles

K Wang, D Qu, Y Meng, T Wang, Z Yang - Sustainability, 2024 - mdpi.com
To characterize the dynamic interaction properties of heterogeneous traffic flow in the
complex human–vehicle–road environment and to enhance the safety and efficiency of …

可学习深度位置编码引导的车前图像道路可行驶区域检测

韩汀, 陈思宇, 马津, 蔡国榕, 张吴明… - 武汉大学学报(信息科学 …, 2024 - ch.whu.edu.cn
道路可行驶区域检测是汽车辅助驾驶系统中场景感知的关键基础. 基于卷积神经网络的方法因
难以获取全局上下文信息而易产生道路空洞和中断等完整性问题, 而基于Transformer …

Driving state evaluation of intelligent connected vehicles based on centralized multi-source vehicle road collaborative information fusion

Q Tong, Z Yang, G Chai, Y Wang, Z Qi, F Wang… - Environment …, 2022 - Springer
When the intelligent vehicle is driving on the road, the driving state of the vehicle needs to
be monitored and evaluated in real time, such as whether the distance from the vehicle or …

Cost Analysis of Vehicle‐Road Cooperative Intelligence Solutions for High‐Level Autonomous Driving: A Beijing Case Study

G Zhu, F Zhao, H Song, Z Liu - Journal of Advanced …, 2024 - Wiley Online Library
The development of the vehicle‐road cooperative intelligence can effectively resolve the
current technical impediment and cost quandary associated with high‐level autonomous …

基于改进纯跟踪的智能车路径跟随方法

潘世举, 李永乐, 李子先, 何滨兵, 朱愿, 徐友春 - 汽车工程, 2023 - qichegongcheng.com
为提高智能车的路径跟随精度和行驶平稳性, 提出一种基于改进纯跟踪的路径跟随方法.
首先建立纯跟踪路径跟随模型, 分析纯跟踪模型在初始偏差条件下的控制效果; …