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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
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Tianyu Dong, Jiazu Zhou, Junfan Zhuo, Bo Li and Feng Zhu
Conventional traffic stability studies primarily concentrate on the evolution of disturbances in vehicle motion but seldom consider how collision risk changes spatially and temporally. This study bridges the gap by extending the principles of traffic sta...
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Xiaochen Zhang, Ziyang Song, Qianbo Huang, Ziyi Pan, Wujing Li, Ruining Gong and Bi Zhao
As automated driving system (ADS) technology is adopted in wheelchairs, clarity on the vehicle?s imminent path becomes essential for both users and pedestrians. For users, understanding the imminent path helps mitigate anxiety and facilitates real-time a...
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Dominik Janetzko and Bacem Kacem
In the domain of Advanced Air Mobility (AAM), Simplified Vehicle Operations (SVOs) promise a reduction in handling complexity and training time for pilots. Designing a usable human?machine interface (HMI) for pilots of SVO-enabled aircraft requires a dee...
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Koichiro Hirose, Koji Fukudome, Hiroya Mamori and Makoto Yamamoto
Ice crystal icing occurs in jet engine compressors, which can severely degrade jet engine performance. In this study, we developed an ice crystal trajectory simulation, considering the state changes of ice crystals with a forced convection model, indicat...
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Anqing Wang, Longwei Li, Haoliang Wang, Bing Han and Zhouhua Peng
In this paper, a swarm trajectory-planning method is proposed for multiple autonomous surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based on the point cloud information of the surrounding environment obtained from loc...
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Zhen Yang, Guozhang Fan, Wei Yan, Xuefeng Wang, Guoqing Zhang, Zhili Yang, Zuofei Zhu, Yuanze Zhang, Huai Cheng, Hongxun Tian, Li Li and Qiang Zhang
During the Miocene, several reefs formed in the Beikang Basin, South China Sea, which may be potential targets for hydrocarbon exploration. This is due to the environment that developed as a result of the collision, splitting, and splicing of the Nansha ...
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Xin Wang, Haiqing Tian, Ziqing Xiao, Kai Zhao, Dapeng Li and Di Wang
To improve the operational efficiency of a hammer mill and delve into a high-efficiency, energy-saving grinding mechanism, the crucial parameters influencing the grinding of corn straw were identified as the spindle speed, hammer?sieve gap, and sieve por...
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Wanzhi Zhang, Yunzhen Qu, Xiubo Yin, Hongjuan Liu, Guizhi Mu and Dengshan Li
Sweet potato skin is prone to friction damage during mechanical harvesting. To reveal the friction damage mechanism of sweet potato skin, the impact friction process between a sweet potato and a rod was theoretically analyzed. The main factors affecting ...
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