Wyszukiwarka
Pawel Piskur
Zatrudnienie
- 2017 - present w MECHANICAL AND ELECTRICAL DEPARTMENT
Publikacje
Filtry
wszystkich: 19
Katalog Publikacji
Rok 2022
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Propulsion System Analysis Based on Particle Image Velocimetry Method in Biomimetic Unmanned Underwater Vehicle
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Side Fins Performance in Biomimetic Unmanned Underwater Vehicle
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Strouhal Number Measurement for Novel Biomimetic Folding Fins Using an Image Processing Method
Publikacja
Rok 2021
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Innovative Energy-Saving Propulsion System for Low-Speed Biomimetic Underwater Vehicles
Publikacja -
Innovative Energy-Saving Propulsion System for Low-Speed Biomimetic Underwater Vehicles
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Measurement Of The Dynamics Of The Sheave Block Of Shipyard Crane With 1000 T Lifting Capacity For Verification Of The Laboratory Stand
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Methodology for the Correction of the Spatial Orientation Angles of the Unmanned Aerial Vehicle Using Real Time GNSS, a Shoreline Image and an Electronic Navigational Chart
PublikacjaUndoubtedly, Low-Altitude Unmanned Aerial Vehicles (UAVs) are becoming more common in marine applications. Equipped with a Global Navigation Satellite System (GNSS) Real-Time Kinematic (RTK) receiver for highly accurate positioning, they perform camera and Light Detection and Ranging (LiDAR) measurements. Unfortunately, these measurements may still be subject to large errors-mainly due to the inaccuracy of measurement of the optical...
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Shipyard Crane Modeling Methods
Publikacja
Rok 2020
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Analysis of Satellite Compass Error’s Spectrum
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Comparison of Different Course Controllers of Biomimetic Underwater Vehicle with Two Tail Fins
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Digital Signal Processing for Hydroacoustic System in Biomimetic Underwater Vehicle
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Hydroacoustic System in a Biomimetic Underwater Vehicle to Avoid Collision with Vessels with Low-Speed Propellers in a Controlled Environment
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Identification in a Laboratory Tunnel to Control Fluid Velocity
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Influence of Fin’s Material Capabilities on the Propulsion System of Biomimetic Underwater Vehicle
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Method for assessing the dynamics and efficiency of diving fins
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Parameters Identification of the Flexible Fin Kinematics Model Using Vision and Genetic Algorithms
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The Effectiveness of Using a Pretrained Deep Learning Neural Networks for Object Classification in Underwater Video
Publikacja
Rok 2019
Rok 2017
wyświetlono 583 razy