Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Yuan, Shihua"'
Proper functioning of connected and automated vehicles (CAVs) is crucial for the safety and efficiency of future intelligent transport systems. Meanwhile, transitioning to fully autonomous driving requires a long period of mixed autonomy traffic, inc
Externí odkaz:
http://arxiv.org/abs/2211.03005
An efficient and reliable multi-agent decision-making system is highly demanded for the safe and efficient operation of connected autonomous vehicles in intelligent transportation systems. Current researches mainly focus on the Deep Reinforcement Lea
Externí odkaz:
http://arxiv.org/abs/2201.12776
Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and economy. This article proposes a brief review on learning-based decision-
Externí odkaz:
http://arxiv.org/abs/2107.01110
Humans make daily routine decisions based on their internal states in intricate interaction scenarios. This paper presents a probabilistically reconstructive learning approach to identify the internal states of multi-vehicle sequential interactions w
Externí odkaz:
http://arxiv.org/abs/2102.07530
Publikováno v:
In International Journal of Heat and Mass Transfer February 2024 219
Merging at highway on-ramps while interacting with other human-driven vehicles is challenging for autonomous vehicles (AVs). An efficient route to this challenge requires exploring and exploiting knowledge of the interaction process from demonstratio
Externí odkaz:
http://arxiv.org/abs/2008.06156
Unmanned ground vehicles have a huge development potential in both civilian and military fields, and have become the focus of research in various countries. In addition, high-precision, high-reliability sensors are significant for UGVs' efficient ope
Externí odkaz:
http://arxiv.org/abs/2007.01992
Publikováno v:
In Tribology International October 2023 188
Autor:
Li, Wei, Li, Xiaolong, Sun, Chuanwen, Sun, Rui, Hu, Tianyi, Wang, Shuowen, Yuan, Shihua, Zhang, Wen, Lashari, Muhammad Imran
Publikováno v:
In Materials Characterization July 2023 201
Publikováno v:
In Tribology International February 2023 180