Showing 1 - 20 results of 371 for search 'root navigation', query time: 0.09s Refine Results
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    Efficacy of computer navigation-assisted versus conventional arthroscopic transtibial tunnel reconstruction for medial meniscus posterior root tear by TANG Xinyu, QU Di, HAN Xinkun, ZHANG Dongfang, ZHANG Yixin, FU Haitao, QI Chao

    Published 2025-02-01
    “…Objective To investigate the efficacy of computer navigation-assisted versus conventional arthroscopic transtibial tunnel reconstruction in the treatment of medial meniscus posterior root (MMPR) tear. …”
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    Implementation of a Low-Cost Navigation System Using Data Fusion of a Micro-Electro-Mechanical System Inertial Sensor and an Ultra Short Baseline on a Microcontroller by Julian Winkler, Sabah Badri-Hoeher

    Published 2025-05-01
    “…For data fusion and calibration, an error state Kalman filter in square root form is used, which preserves stability in case of rounding errors. …”
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    Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

    Published 2025-07-01
    “…The results show a reduction in Absolute Trajectory Error from 0.62 meters to 0.25 meters, and a decrease in Root Mean Square Error from 0.85 meters to 0.39 meters. …”
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    A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/... by Wanqiang Chen, Yunpeng Jing, Shuo Zhao, Lei Yan, Quancheng Liu, Zichang He

    Published 2025-02-01
    “…For Robot 1, DAEKF reduced the lateral error Root Mean Squared Error (RMSE) by 68.87%, 27.80%, and 25.76%, compared to No Filtering, KF, and EKF. …”
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    Learning dynamic cognitive map with autonomous navigation by Daria de Tinguy, Tim Verbelen, Bart Dhoedt

    Published 2024-12-01
    “…Inspired by animal navigation strategies, we introduce a novel computational model to navigate and map a space rooted in biologically inspired principles. …”
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    The effect of computer aided navigation techniques on the precision of endodontic access cavities: A systematic review and meta-analysis by P. R. Kesharani, S. D. Aggarwal, N. K. Patel, J. A. Patel, D. A. Patil, S. H. Modi

    Published 2024-10-01
    “…Accuracy in location of root canal is significantly higher in the static and dynamic navigation group compared to the conventional group. …”
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    ProvNavigator: shadow path guided attack investigation method by XI Hao, FAN Hao, YUAN Shenyang, ZHU Jinyu, CHEN Changhua, WAN Hai, ZHAO Xibin

    Published 2025-04-01
    “…After cyber attacks, conducting an investigation to analyze its root cause and impact is crucial. Currently, provenance graph-based techniques have become mainstream methods, but these methods face the challenge of dependency explosion problems. …”
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    An Enhanced Precise Carrier Phase Positioning Method for Vehicle Navigation by Qiangqiang Shuai, Qiyi Pang, Fangzhou Tang, Zun Niu, Bocheng Zhu

    Published 2025-01-01
    “…In summary, the results demonstrate that the proposed method is highly beneficial for precise vehicle navigation.…”
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    A Comparative Analysis of Visual Localization Algorithms in Indoor Navigation by İ. Yakar, E. Gunaydın, R. A. Kucak, S. Bilgi, M. O. Selbesoglu

    Published 2024-12-01
    “…Localization can be defined as the process of determining the position and orientation of an entity within an environment, that would enable it to navigate and carry out tasks effectively. It is of fundamental importance for a wide range of areas such as robotics, medicine, indoor and outdoor navigation, autonomous vehicles, etc. …”
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    A robust cascaded strategy of in-motion alignment for inertial navigation systems by Wanke Liu, Rui Duan, Feng Zhu

    Published 2017-09-01
    “…Inertial navigation system needs to be initialized through the alignment process, before the transition into the navigation stage can be made. …”
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    IVU-AutoNav: Integrated Visual and UWB Framework for Autonomous Navigation by Shuhui Bu, Jie Zhang, Xiaohan Li, Kun Li, Boni Hu

    Published 2025-02-01
    “…Experimental results show a scale error of less than 1.8% and a root mean square error of 0.23 m, outperforming existing state-of-the-art visual SLAM systems. …”
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