Zobrazeno 1 - 10
of 2 851
pro vyhledávání: '"Hua, Min"'
Autor:
Liu, Wei, Zhu, Jiaqi, Zhuo, Guirong, Fu, Wufei, Meng, Zonglin, Lu, Yishi, Hua, Min, Qiao, Feng, Li, You, He, Yi, Xiong, Lu
Intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent vehicles. Integrating diverse and complementary sensors such as global n
Externí odkaz:
http://arxiv.org/abs/2409.12426
Autor:
Hua, Min, Chen, Dong, Jiang, Kun, Zhang, Fanggang, Wang, Jinhai, Wang, Bo, Zhou, Quan, Xu, Hongming
Cooperative adaptive cruise control (CACC) has been recognized as a fundamental function of autonomous driving, in which platoon stability and energy efficiency are outstanding challenges that are difficult to accommodate in real-world operations. Th
Externí odkaz:
http://arxiv.org/abs/2406.11653
Connected and automated vehicles (CAVs) have emerged as a potential solution to the future challenges of developing safe, efficient, and eco-friendly transportation systems. However, CAV control presents significant challenges, given the complexity o
Externí odkaz:
http://arxiv.org/abs/2312.11084
The growing adoption of hybrid electric vehicles (HEVs) presents a transformative opportunity for revolutionizing transportation energy systems. The shift towards electrifying transportation aims to curb environmental concerns related to fossil fuel
Externí odkaz:
http://arxiv.org/abs/2308.14602
Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV's hazard response in the real world because it would involve hazards to passengers and other road users.
Externí odkaz:
http://arxiv.org/abs/2307.10229
Maintaining both path-tracking accuracy and yaw stability of distributed drive electric vehicles (DDEVs) under various driving conditions presents a significant challenge in the field of vehicle control. To address this limitation, a coordinated cont
Externí odkaz:
http://arxiv.org/abs/2304.11796
With the rapid development of autonomous driving, the attention of academia has increasingly focused on the development of anti-collision systems in emergency scenarios, which have a crucial impact on driving safety. While numerous anti-collision str
Externí odkaz:
http://arxiv.org/abs/2304.11013
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control. At the present, th
Externí odkaz:
http://arxiv.org/abs/2303.09658
Developing intelligent energy management systems with high adaptability and superiority is necessary and significant for Hybrid Electric Vehicles (HEVs). This paper proposed an ensemble learning-based scheme based on a learning automata module (LAM)
Externí odkaz:
http://arxiv.org/abs/2303.08981
Autor:
Liu, Wei, Hua, Min, Deng, Zhiyun, Meng, Zonglin, Huang, Yanjun, Hu, Chuan, Song, Shunhui, Gao, Letian, Liu, Changsheng, Shuai, Bin, Khajepour, Amir, Xiong, Lu, Xia, Xin
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger comfort, transportation efficiency, and energy saving. This survey attem
Externí odkaz:
http://arxiv.org/abs/2303.05665