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Guangrong Chen and Liang Hong
Due to the high stability and adaptability, quadruped robots are currently highly discussed in the robotics field. To overcome the complicated environment indoor or outdoor, the quadruped robots should be configured with an environment perception system,...
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Ming Zhong, Yuhang He, Yan Liu, Ruiqing Han and Yaxin Liu
In a household setting, a wheelchair-mounted robotic arm (WMRA) can be useful for assisting elderly and disabled individuals. However, the current WMRA can only perform movement and grasping tasks through joystick remote control. This method results in l...
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Shih-An Li, Yu-Ying Liu, Yun-Chien Chen, Hsuan-Ming Feng, Pi-Kang Shen and Yu-Che Wu
This paper designed a voice interactive robot system that can conveniently execute assigned service tasks in real-life scenarios. It is equipped without a microphone where users can control the robot with spoken commands; the voice commands are then reco...
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Dorijan Radocaj, Ivan Pla?cak and Mladen Juri?ic
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent improvements in GNSS components (GPS, GLONASS, Galileo, and BeiDou) and ...
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Chenyang Zhang, Teng Huang, Rongchun Zhang and Xuefeng Yi
RGB-D SLAM (Simultaneous Localization and Mapping) generally performs smoothly in a static environment. However, in dynamic scenes, dynamic features often cause wrong data associations, which degrade accuracy and robustness. To address this problem, in t...
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Francisco Bonin-Font and Antoni Burguera
State of the art approaches to Multi-robot localization and mapping still present multiple issues to be improved, offering a wide range of possibilities for researchers and technology. This paper presents a new algorithm for visual Multi-robot simultaneo...
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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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Tong Zhang, Chunjiang Liu, Jiaqi Li, Minghui Pang and Mingang Wang
In view of traditional point-line feature visual inertial simultaneous localization and mapping (SLAM) system, which has weak performance in accuracy so that it cannot be processed in real time under the condition of weak indoor texture and light and sha...
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Pengcheng Mu, Xin Zhang, Ping Qin and Bo He
Simultaneous Localization and Mapping (SLAM) is a well-known solution for mapping and realizing autonomous navigation of an Autonomous Underwater Vehicle (AUV) in unknown underwater environments. However, the inaccurate time-varying observation noise wil...
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Guangchao Hou, Qi Shao, Bo Zou, Liwen Dai, Zhe Zhang, Zhehan Mu, Yadong Zhang and Jingsheng Zhai
The navigation and localization of autonomous underwater vehicles (AUVs) in seawater are of the utmost importance for scientific research, petroleum engineering, search and rescue, and military missions concerning the special environment of seawater. How...
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Feiren Wang, Enli Lü, Yu Wang, Guangjun Qiu and Huazhong Lu
The autonomous navigation of unmanned vehicles in GPS denied environments is an incredibly challenging task. Because cameras are low in price, obtain rich information, and passively sense the environment, vision based simultaneous localization and mappin...
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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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Yunpiao Cai, Weixing Qian, Jiaqi Zhao, Jiayi Dong and Tianxiao Shen
In this paper, we propose a novel visual?inertial simultaneous localization and mapping (SLAM) method for intelligent navigation systems that aims to overcome the challenges posed by dynamic or large-scale outdoor environments. Our approach constructs a ...
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Chi Zhang, Zhong Yang, Haoze Zhuo, Luwei Liao, Xin Yang, Tang Zhu and Guotao Li
Self-localization and state estimation are crucial capabilities for agile drone autonomous navigation. This article presents a lightweight and drift-free vision-IMU-GNSS tightly coupled multisensor fusion (LDMF) strategy for drones? autonomous and safe n...
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Jinming Zhang, Lianrui Xu and Cuizhu Bao
The vision-based robot pose estimation and mapping system has the disadvantage of low pose estimation accuracy and poor local detail mapping effects, while the modeling environment has poor features, high dynamics, weak light, and multiple shadows, among...
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Feiya Li, Chunyun Fu, Dongye Sun, Hormoz Marzbani and Minghui Hu
Geometric map features, such as line segments and planes, are receiving increasing attention due to their advantages in simultaneous localization and mapping applications. However, large structures in different environments are very likely to appear repe...
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Guolai Jiang, Lei Yin, Shaokun Jin, Chaoran Tian, Xinbo Ma and Yongsheng Ou
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Qiang Zhou and Xin Li
This study focused on the homography estimation between the camera image and the wall map and presented a novel method (HomographyFpnNet). The high precision and low time consumption of this method will benefit many homography-related applications in rob...
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Tamás Bécsi, Szilárd Aradi, Árpád Fehér, György Gáldi
Pág. 333 - 340
The paper presents the development of an experimental vehicle framework for testing autonomous vehicle functions. The development of system serves primarily the education and the scientific work of the students. It is a good experience for the students o...
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Feihu Zhang, Diandian Xu and Chensheng Cheng
Multi-vehicle collaborative mapping proves more efficient in constructing maps in unfamiliar underwater environments in comparison to single-vehicle methods. One of the pivotal hurdles of Simultaneous Localization and Mapping (SLAM) with multiple underwa...
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