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Bogdan Kapatsila, Jordan D. Rea, Emily Grisé
Pág. 163 - 185
As cities across the world embrace the benefits of rapid transit technology and invest in the expansion of existing infrastructure or plan for the introduction of new lines, the differences in both benefits and externalities that bus rapid transit (BRT) ...
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Jinxiong Gao, Xu Geng, Yonghui Zhang and Jingbo Wang
Underwater autonomous path planning is a critical component of intelligent underwater vehicle system design, especially for maritime conservation and monitoring missions. Effective path planning for these robots necessitates considering various constrain...
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Gang Tang, Chenyuan Wang, Zhao Zhang and Shaoyang Men
Container terminal yards are automated terminal yards. The rail-mounted gantry crane (RMGC) and rail-mounted gantry crane tracks (RMGCTs) that frequently operate in terminal yards need to be inspected regularly to ensure the safe operation of container t...
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Shuai Zhou, Zheng Wang, Longmei Li and Houpu Li
The precision and efficiency of multi-target path planning are crucial factors influencing the performance of anti-mine operations using unmanned underwater vehicles (UUVs). Addressing the inadequacies in computation time and solution quality present in ...
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Dmitry Nikushchenko, Andrey Maevskiy, Igor Kozhemyakin, Vladimir Ryzhov, Alexander Bondar, Artem Goreliy, Ivan Pechaiko and Ekaterina Nikitina
Artificial Intelligence (hereinafter referred to as AI) systems have recently found great application and use in various industries, such as data processing, data analysis, and the operation control of marine robotic complexes, etc. In view of the ever-i...
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Xun Zhang, Ziqi Wang, Huijun Chen and Hao Ding
The control strategy of an underdriven unmanned underwater vehicle (UUV) equipped with front sonar and actuator faults in a continuous task environment is investigated. Considering trajectory tracking and local path planning in complex-obstacle environme...
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Tai Huang, Kuangang Fan, Wen Sun, Weichao Li and Haoqi Guo
This paper proposes a random tree algorithm based on a potential field oriented greedy strategy for the path planning of unmanned aerial vehicles (UAVs). Potential-field-RRT (PF-RRT) discards the defect of traditional artificial potential field (APF) alg...
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Rihong Zhang, Zhenhao Wang, Xiaomin Li, Zipeng She and Baoe Wang
Water quality sampling and monitoring are fundamental to water environmental protection. The purpose of this study was to develop a water quality sampling and multi-parameter monitoring system mounted on a multi-rotor unmanned aerial vehicle (UAV). The s...
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Qifeng Diao, Jinfeng Zhang, Min Liu and Jiaxuan Yang
Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency. Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees...
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William Margerit, Antoine Charpentier, Cathy Maugis-Rabusseau, Johann Christian Schön, Nathalie Tarrat and Juan Cortés
The exploration of the energy landscape of a chemical system is essential for understanding and predicting its observable properties. In most cases, this is a challenging task due to the high complexity of such landscapes, which often consist of multiple...
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