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Ziqi Liu, Shogo Okamoto, Tomohito Kuroda and Yasuhiro Akiyama
Gait stability indices are crucial for identifying individuals at risk of falling while walking. The margin of stability is one such index, known for its good construct validity. Generally, the measurement of this stability index requires a motion captur...
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Lei Sun, Honglei An, Hongxu Ma, Qing Wei and Jialong Gao
Lower limb knee?ankle prostheses can effectively assist above-knee amputees in completing their basic daily activities. This study explored methods for estimating the joint kinematics of intelligent lower limb prostheses to better adapt them to the walki...
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Rongke Wei, Haodong Pei, Dongjie Wu, Changwen Zeng, Xin Ai and Huixian Duan
The task of 3D reconstruction of urban targets holds pivotal importance for various applications, including autonomous driving, digital twin technology, and urban planning and development. The intricate nature of urban landscapes presents substantial cha...
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Chenglei Lv, Qiushi Sun, Huifang Chen and Lei Xie
Due to the relative motion between transmitters and receivers and the multipath characteristic of wideband underwater acoustic channels, Doppler and channel estimations are of great significance for an underwater acoustic (UWA) communication system. In t...
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Zeying Bian, Mengyuan Zeng, Hongduo Zhao, Mu Guo and Juewei Cai
Measuring the axle loads of vehicles with more accuracy is a crucial step in weight enforcement and pavement condition assessment. This paper proposed a vibration-based method, which has an extended sensing range, high temporal sampling rate, and dense s...
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David Zuehlke, Madhur Tiwari, Khalid Jebari and Krishna Bhavithavya Kidambi
As interest in Moon exploration grows, and efforts to establish an orbiting outpost intensify, accurate modeling of spacecraft dynamics in cislunar space is becoming increasingly important. Contrary to satellites in Low Earth Orbit (LEO), where it takes ...
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Rohit Mittal, Geeta Rani, Vibhakar Pathak, Sonam Chhikara, Vijaypal Singh Dhaka, Eugenio Vocaturo and Ester Zumpano
The automation industry faces the challenge of avoiding interference with obstacles, estimating the next move of a robot, and optimizing its path in various environments. Although researchers have predicted the next move of a robot in linear and non-line...
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Alvaro Arroyo Cebeira and Mariano Asensio Vicente
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimat...
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Yibo Zhang, Hao Sun, Fanhang Zhang, Baohua Zhang, Shutian Tao, Haitao Li, Kaijie Qi, Shaoling Zhang, Seishi Ninomiya and Yue Mu
To realize autonomous navigation and intelligent management in orchards, vehicles require real-time positioning and globally consistent mapping of surroundings with sufficient information. However, the unstructured and unstable characteristics of orchard...
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Jose Antonio Carballo, Javier Bonilla, Jesús Fernández-Reche, Bijan Nouri, Antonio Avila-Marin, Yann Fabel and Diego-César Alarcón-Padilla
Due to the need to know the availability of solar resources for the solar renewable technologies in advance, this paper presents a new methodology based on computer vision and the object detection technique that uses convolutional neural networks (Effici...
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