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Pengcheng Liu, Jian Hao, Hui Hu, Xuekun Luan and Bingqian Meng
This article addresses the issue of energy waste resulting from frequent braking of underground mine cars and proposes an optimization design to address this. The proposed solution involves the installation of a regenerative braking device within the min...
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Bowen Xing, Xiao Wang and Zhenchong Liu
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the...
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Changyu Lu, Jianmin Yang, Bernt Johan Leira, Qihang Chen and Shulin Wang
Three-dimensional path planning is instrumental in path decision making and obstacle avoidance for deep-sea mining vehicles (DSMV). However, conventional particle swarm algorithms have been prone to trapping in local optima and have slow convergence rate...
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Maozhen Xia, Haining Lu, Jianmin Yang and Pengfei Sun
Deep-sea mining vehicles (DSMVs) are highly prone to sinking and slippage when traveling on extremely soft seafloor sediments. In addition, DSMVs can be vulnerable to dangerous situations such as overturning due to the non-homogeneous characteristic of t...
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Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ...
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Yufeng Li, Mengxiao Liu, Chenhong Cao and Jiangtao Li
Advanced Driver Assistance Systems (ADASs) are crucial components of intelligent vehicles, equipped with a vast code base. To enhance the security of ADASs, it is essential to mine their vulnerabilities and corresponding exploitation methods. However, mi...
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Pekka Pääkkönen, Jere Backman, Daniel Pakkala, Jori Paananen, Kari Seppänen and Kimmo Ahola
System and method for continuously improving or adapting multi-access router path selection of autonomous moving vehicles in changing environments.
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Jay N. Meegoda, Sarvagna Malladi and Isabel C. Zayas
Electric vehicles, which are primarily powered by lithium-ion batteries, have gained much attention as the future of transportation for their environmental and economic benefits. However, the current economy of lithium-ion battery management is quite lin...
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George Sisias, Myrto Konstantinidou and Sotirios Kontogiannis
Automated deep learning and data mining algorithms can provide accurate detection, frequency patterns, and predictions of dangerous goods passing through motorways and tunnels. This paper presents a post-processing image detection application and a three...
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Vijayanandh Raja, Ramesh Murugesan, Parvathy Rajendran, Surya Palaniappan, Hussein A. Z. AL-bonsrulah, Darshan Kumar Jayaram and Mohammed Al-Bahrani
The conceptual design, component selection, and deployment experiments of an unmanned amphibious system (US) with a unique Becker in vertical stabilizer based on hydrodynamic research are included in this work. The use of USs is currently expanding signi...
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