Results 1 to 10 of about 27,690 (91)

Active fault-tolerant control of rotation angle sensor in steer-by-wire system based on multi-objective constraint fault estimator [PDF]

Journal of Intelligent and Connected Vehicles, 2021
Purpose – Steer-by-wire (SBW) system mainly relies on sensors, controllers and motors to replace the traditionally mechanical transmission mechanism to realize steering functions.
Qinjie Yang, Guozhe Shen, Chao Liu, Zheng Wang, Kai Zheng, Rencheng Zheng   +5 more
doaj   +1 more source

Safety effects of work zone advisory systems under the intelligent connected vehicle environment: a microsimulation approach [PDF]

Journal of Intelligent and Connected Vehicles, 2021
Purpose – This study aims to investigate the safety effects of work zone advisory systems. The traditional system includes a dynamic message sign (DMS), whereas the advanced system includes an in-vehicle work zone warning application under the connected ...
Suyi Mao, Guiming Xiao, Jaeyoung Lee, Ling Wang, Zijin Wang, Helai Huang   +5 more
doaj   +1 more source

Evaluation of fog warning system on driving under heavy fog condition based on driving simulator [PDF]

Journal of Intelligent and Connected Vehicles, 2021
Purpose – Heavy fog results in low visibility, which increases the probability and severity of traffic crashes, and fog warning system is conducive to the reduction of crashes by conveying warning messages to drivers.
Xiaohua Zhao, Xuewei Li, Yufei Chen, Haijian Li, Yang Ding   +4 more
doaj   +1 more source

The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020) [PDF]

Journal of Intelligent and Connected Vehicles, 2022
Purpose – The rapid development of Intelligent and Connected Vehicles (ICVs) has boomed a new round of global technological and industrial revolution in recent decades.
Qing Xu, Keqiang Li, Jianqiang Wang, Quan Yuan, Yanding Yang, Wenbo Chu   +5 more
doaj   +1 more source

Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance [PDF]

Journal of Intelligent and Connected Vehicles, 2022
Purpose – The presentation of in-vehicle warnings information at risky driving scenarios is aimed to improve the collision avoidance ability of drivers. Existing studies have found that driver’s collision avoidance performance is affected by both warning
Chen Chai, Ziyao Zhou, Weiru Yin, David S. Hurwitz, Siyang Zhang   +4 more
doaj   +1 more source

Longitudinal control for person-following robots [PDF]

Journal of Intelligent and Connected Vehicles, 2022
Purpose – This paper aims to address the longitudinal control problem for person-following robots (PFRs) for the implementation of this technology. Design/methodology/approach – Nine representative car-following models are analyzed from PFRs application ...
Liang Wang, Jiaming Wu, Xiaopeng Li, Zhaohui Wu, Lin Zhu   +4 more
doaj   +1 more source

Development and Key Technologies of Helicopter Active Protection System [PDF]

Hangkong bingqi
Helicopters are vulnerable to a variety of ground-to-air/air-to-air weapons during low-altitude operations. Short-range launched RPGs and missiles with increasingly strong anti-jamming capabilities have posed a great challenge to the traditional “soft ...
Wei Jingbiao, Sun Yukai, Zhang Hongbo, Mei Junfeng, Wang Xing
doaj   +1 more source

Precise vehicle ego-localization using feature matching of pavement images [PDF]

Journal of Intelligent and Connected Vehicles, 2020
Purpose – Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time.
Zijun Jiang, Zhigang Xu, Yunchao Li, Haigen Min, Jingmei Zhou   +4 more
doaj   +1 more source

Research on US Military Test and Evaluation as a Continuum [PDF]

Hangkong bingqi
The reform of test and evaluation is a critical component of the US defense acquisition system reform and the digital transformation of the US military. Facing the challenges of test and evaluation brought by the development of emerging technologies such
Yang Tao, Zhang Yi, Liang Baohua, Li Guole
doaj   +1 more source

Optimization Technology for Intelligent Interception of Incoming Missiles and Platform Maneuvering Strategies Based on Deep Reinforcement Learning [PDF]

Hangkong bingqi
Facing the increasing complexity of aerial combat environments and challenges to the survivability of air platforms from new combat methods, it is necessary to adopt new hard-kill methods to counter advanced air-to-air missiles.
Lü Zhenrui, Shen Xin, Li Shaobo, Tian Peng, Si Yingli
doaj   +1 more source