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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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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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Zhenxin Zhang, Meng Zhang, Guoxi Li, Shilong Qin and Chunxiao Xu
The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle. During the operation of the UAV, actuators are prone to degrade performance and even cause serious fa...
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Xuejia Wu, Zhong Su, Lei Li and Zekun Bai
To address the issue of low positioning accuracy in unmanned vehicles navigating in obstructed spaces due to easily contaminated navigation measurement information, an improved adaptive federated Kalman filtering INS/GNSS/VNS integrated navigation algori...
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Richard Bustos, S. Andrew Gadsden, Mohammad Al-Shabi and Shohel Mahmud
To ensure reliable operation of electrical systems, batteries require robust battery monitoring systems (BMSs). A BMS?s main task is to accurately estimate a battery?s available power, referred to as the state of charge (SOC). Unfortunately, the SOC cann...
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Shuaipeng Gao and Tijing Cai
Gravity-aided navigation is an effective navigation method for underwater vehicles. However, the distribution of the gravity field may affect the measurement errors of gravity anomalies and the precision of gravity-aided navigation. In this paper, the up...
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Dansong Yue, Shuqi Shang, Kai Feng, Haiqing Wang, Xiaoning He, Zelong Zhao, Ning Zhang, Baiqiang Zuo and Dongwei Wang
Improving the positioning accuracy and stability of a single BDS/INS sensor system in agricultural machinery is important for expanding the application scenarios of agricultural machinery. This paper proposes a navigation and positioning model based on a...
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Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu and Xiaohui Wang
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-tim...
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Aijun Zhang, Yixuan Wu, Chenbo Zhi and Rui Yang
In the navigation of an autonomous underwater vehicle (AUV), the positioning accuracy and stability of the navigation system will decrease due to uncertainties such as mobility, inaccuracy of a priori process noise characteristic, and simplification of a...
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Sina Sajjadi, Mehran Mehrandezh and Farrokh Janabi-Sharifi
In the past two decades, Unmanned Aerial Vehicles (UAVs) have gained attention in applications such as industrial inspection, search and rescue, mapping, and environment monitoring. However, the autonomous navigation capability of UAVs is aggravated in G...
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