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Kenan Liu, Wuyun Zhao, Bugong Sun, Pute Wu, Delan Zhu and Peng Zhang
Autonomous navigation for agricultural machinery has broad and promising development prospects. Kalman filter technology, which can improve positioning accuracy, is widely used in navigation systems in different fields. However, there has not been much r...
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Sang-Woong Yun, Dong-Ham Kim, Se-Won Kim, Dong-Jin Kim and Hye-Jin Kim
This study introduces global path planning for autonomous ships in port environments, with a focus on the Port of Ulsan, where various environmental factors are modeled for analysis. Global path planning is considered to take place from departure to bert...
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Pedro M. Batista Santos and Tiago A. Santos
This paper presents the comprehensive state-of-the-art on the challenges that short sea shipping currently faces across the world. The concept and its relationship with coastal shipping are introduced, followed by a review of the EU policies for short se...
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Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
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Binbin Yue, Zhigang Zhang, Wenyu Zhang, Xiwen Luo, Guocheng Zhang, Haixiang Huang, Xinluo Wu, Kaiyuan Bao and Mingda Peng
In order to enhance the efficiency of agricultural machinery in orchard rows and minimize harm to personnel caused by pesticide spraying, this study developed a GNSS-based (Global Navigation Satellite System) automatic navigation driving system for track...
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Alvin Lee, Suet-Peng Yong, Witold Pedrycz and Junzo Watada
Drones play a pivotal role in various industries of Industry 4.0. For achieving the application of drones in a dynamic environment, finding a clear path for their autonomous flight requires more research. This paper addresses the problem of finding a nav...
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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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Joshua J. R. Critchley-Marrows, Xiaofeng Wu, Yosuke Kawabata and Shinichi Nakasuka
In recent years, the number of expected missions to the Moon has increased significantly. With limited terrestrial-based infrastructure to support this number of missions, as well as restricted visibility over intended mission areas, there is a need for ...
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Jun Dai, Chunfeng Zhang, Songlin Liu, Xiangyang Hao, Zongbin Ren and Yunzhu Lv
Autonomous navigation and localization are the foundations of unmanned intelligent systems, therefore, continuous, stable, and reliable position services in unknown environments are especially important for autonomous navigation and localization. Aiming ...
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Pavol Kurdel, Natália Gecejová, Marek Ce?kovic and Anna Yakovlieva
Unmanned aerial vehicle technology is the most advanced and helpful in almost every area of interest in human work. These devices become autonomous and can fulfil a variety of tasks, from simple imaging and obtaining data to search and rescue operations....
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