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Chen Cheng, Dong Liu, Jin-Hui Du and Yong-Zheng Li
The identification and classification of obstacles in navigable and non-navigable regions, as well as the measurement of distances, are crucial topics of investigation in the field of autonomous navigation for unmanned surface vehicles (USVs). Currently,...
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Po-Tong Wang, Shao-Yu Lin, Jia-Shing Sheu
Pág. 213 - 221
With the development of artificial intelligence, public cloud service platforms have begun to provide common pretrained object recognition models for public use. In this study, a dynamic vehicle path-planning system is developed, which uses several gener...
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Xinghua Lin, Jianguo Wu and Qing Qin
Fish can sense their surrounding environment by their lateral line system (LLS). In order to understand the extent to which information can be derived via LLS and to improve the adaptive ability of autonomous underwater vehicles (AUVs), a novel strategy ...
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Jia-Shing Sheu, Chen-Yin Han
Pág. 10 - 17
This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, ...
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Wolfgang Kühn, Michael Müller, Tom Höppner
Pág. 222 - 229
Vehicles need to recognize and record the roadway and the associated driving area elements with the help of sensors (stereo cameras, radar, lidar, laser scanners etc.) in highly automated driving processes; this information then needs to be converted int...
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