يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"indoor localisation"', وقت الاستعلام: 0.70s تنقيح النتائج
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    دورية أكاديمية

    وصف الملف: application/pdf

    العلاقة: Development of human enhancement fire helmet and fire suppression support system; Basic Science Research Program; ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis); MICROCEBUS; REPNIN PLUS; TECHNOFUSION(III)CM; Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue; Strategic Priority Research Program; IEEE Access, Vol. 8 (2020); F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221.; http://hdl.handle.net/10234/200929Test

  2. 2
    دورية أكاديمية

    وصف الملف: application/pdf

    العلاقة: https://ieeexplore.ieee.org/document/9253514Test; F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221; http://hdl.handle.net/1822/70552Test

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    المصدر: CAAI Transactions on Intelligence Technology (2019)

    مصطلحات موضوعية: 0209 industrial biotechnology, IMU/SV fusion algorithm, Computer science, Machine vision, 02 engineering and technology, mobile robot indoor dual Kalman filter localisation, Accelerometer, computer vision, law.invention, SV indoor localisation, poor anti-interference ability, 020901 industrial engineering & automation, mobile robots, law, 0202 electrical engineering, electronic engineering, information engineering, low efficiency complex structure, fusing Kalman filter algorithm, Computer vision, navigation, Inertial navigation system, inertial location, Gyroscope, stereo vision, dual Kalman filter algorithm, magnetometer data, lcsh:QA76.75-76.765, inertial measurement units, 020201 artificial intelligence & image processing, mobile robot binocular SV orientation, DKF algorithm, Computer Vision and Pattern Recognition, Kalman filters, Information Systems, accelerometers, Computer Networks and Communications, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, gyroscopes, current indoor mobile robot localisation technology, stereo image processing, mobile robot system, Artificial Intelligence, Inertial measurement unit, accurate indoor localisation, inertial navigation, efficient indoor localisation, traditional active sensing devices, machine vision localisation algorithm, sensor fusion, lcsh:Computer software, inertial measurement precision, business.industry, novel navigation method, lcsh:P98-98.5, Mobile robot, magnetometers, Kalman filter, Sensor fusion, robot vision, optimised using Kalman filtering algorithm, Human-Computer Interaction, ultrasonic method, Artificial intelligence, lcsh:Computational linguistics. Natural language processing, business, indoor radio