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Shuanghu Qiao, Baojian Song, Yunsheng Fan and Guofeng Wang
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To addre...
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Priyank Kalgaonkar and Mohamed El-Sharkawy
Accurate perception is crucial for autonomous vehicles (AVs) to navigate safely, especially in adverse weather and lighting conditions where single-sensor networks (e.g., cameras or radar) struggle with reduced maneuverability and unrecognizable targets....
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Eduard Angelats, Alban Gorreja, Pedro F. Espín-López, M. Eulàlia Parés, Eva Savina Malinverni and Roberto Pierdicca
The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transitio...
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Guanwen Zhang and Dongnian Jiang
Rolling bearings are one of the most important and indispensable components of a mechanical system, and an accurate prediction of their remaining life is essential to ensuring the reliable operation of a mechanical system. In order to effectively utilize...
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Jaeeun Lee, Hongseok Choi and Jongnam Kim
Welding is a crucial manufacturing technique utilized in various industrial sectors, playing a vital role in production and safety aspects, particularly in shear reinforcement of dual-anchorage (SRD) applications, which are aimed at enhancing the strengt...
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Xuezhu Lin, Shihan Chao, Dongming Yan, Lili Guo, Yue Liu and Lijuan Li
The proposed multi-sensor data fusion method utilizes the self-attention mechanism in CNN-SA networks to enhance data integrity and accuracy, and it has potential applications in various fields where accurate and reliable multi-sensor data fusion is requ...
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Huihui Li, Linfeng Gou, Huacong Li and Zhidan Liu
Sensor health assessments are of great importance for accurately understanding the health of an aeroengine, supporting maintenance decisions, and ensuring flight safety. This study proposes an intelligent framework based on a physically guided neural net...
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Haoling Ren, Yaping Zhao, Tianliang Lin and Jiangdong Wu
The proposed research can be used for simultaneous positioning and mapping of unmanned vehicles in complex engineering environments.
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Yang Chong, Xiangbo Xu, Ningyan Guo, Longkai Shu and Qingyuan Zhang
Cooperative localization (CL) is a popular research topic in the area of localization. Research is becoming more focused on Unmanned Aerial Vehicles (UAVs) and robots and less on pedestrians. This is because UAVs and robots can work in formation, but ped...
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Justin Edwards and Mohamed El-Sharkawy
Semantic segmentation is a machine learning task that is seeing increased utilization in multiple fields, from medical imagery to land demarcation and autonomous vehicles. A real-time autonomous system must be lightweight while maintaining reasonable acc...
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Markus Schwegler, Christoph Müller and Alexander Reiterer
Integrated gradients is an explainable AI technique that aims to explain the relationship between a model?s predictions in terms of its features. Adapting this technique to point clouds and semantic segmentation models allows a class-wise attribution of ...
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Yang Li, Bo Zhao, Jizhong Wang, Yanjun Li and Yanwei Yuan
Accurate yield estimation before the wheat harvest is very important for precision management, maintaining grain market stability, and ensuring national food security. In this study, to further improve the accuracy of winter wheat yield estimation, machi...
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Nader Ekramirad, Alfadhl Y. Khaled, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji
Codling moth (CM) is a major apple pest. Current manual method of detection is not very effective. The development of nondestructive monitoring and detection methods has the potential to reduce postharvest losses from CM infestation. Previous work from o...
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Andualem Aklilu Tesfaye, Berhan Gessesse Awoke, Tesfaye Shiferaw Sida and Daniel E. Osgood
Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in the development o...
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Salvatore Rosario Bassolillo, Egidio D?Amato, Immacolata Notaro, Gennaro Ariante, Giuseppe Del Core and Massimiliano Mattei
In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the civil sectors, due to their high flexibility of use. Currently, two important key points are making them more and more successful in the civil field, namely the decr...
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Fei Liu, Jiayao Shan, Binyu Xiong and Zheng Fang
This paper presents a real-time and multi-sensor-based landing area recognition system for UAVs, which aims to enable UAVs to land safely on open and flat terrain and is suitable for comprehensive unmanned autonomous operation. The landing area recogniti...
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Agnes A. R. Broer, Rinze Benedictus and Dimitrios Zarouchas
With the increased use of composites in aircraft, many new successful contributions to the advancement of the structural health monitoring (SHM) field for composite aerospace structures have been achieved. Yet its application is still not often seen in o...
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Yawen Kong, Dapeng Tian and Yutang Wang
Optoelectronic platform is an important payload in the field of aerospace and widely used in geographic mapping, measurement, and positioning. In order to obtain high-precision attitude measurement, gyro and accelerometer are applied in the feedback loop...
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Xin Dong, Yuzhe Gao, Jinglong Guo, Shiyu Zuo, Jinwu Xiang, Daochun Li and Zhan Tu
Unmanned Aerial Vehicles (UAVs) autonomous approaching and landing on mobile platforms always play an important role in various application scenarios. Such a complicated autonomous task requires an integrated multi-sensor system to guarantee environmenta...
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Liqiang Zhang, Yu Liu and Jinglin Sun
Pedestrian navigation systems could serve as a good supplement for other navigation methods or for extending navigation into areas where other navigation systems are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-senso...
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