{"id":9037,"date":"2022-09-15T01:33:58","date_gmt":"2022-09-14T22:33:58","guid":{"rendered":"https:\/\/aerostream.kz\/?page_id=9037"},"modified":"2024-04-16T20:41:13","modified_gmt":"2024-04-16T17:41:13","slug":"road-passport","status":"publish","type":"page","link":"https:\/\/aerostream.kz\/en\/road-passport\/","title":{"rendered":"Road inspection"},"content":{"rendered":"\n
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Roadway monitoring, technical inspection bridges and overpasses<\/h1> <\/div>\n<\/div>\n\n
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Collection of high resolution data for road monitoring,certification, and traffic management projects using unmanned aerial vehicles and mobile mapping. Detailed technical inspections of bridges, overpasses and other road structures.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Scenario 1<\/h1>\n

Production of a map of roads and the surrounding area with the survey-grade accuracy using drones.<\/h3> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n \"road_passport_1\" \n <\/div>\n \n \n <\/div>\n <\/div>\n
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A high-precision base orthomosaic is formed for further infrastructure mapping, developing of a geodatabase and road network parameters acquisition.<\/p> <\/div>\n<\/div>\n\n

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\n \n sample orthomosaic <\/a>\n <\/div>\n <\/div>\n\n <\/div>\n <\/div>\n <\/div>\n
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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Performance <\/h3>\n
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up to a 100 km of roads per day with a single UAV<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Data product <\/h3>\n
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orthomosaic with all road infrastructure elements captured in high-detail<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Accuracy <\/h3>\n
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of spatial positioning of any object down to 10 cm<\/p> <\/div>\n <\/div>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n

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\n \"road_passport_1.1\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Scenario 2<\/h1>\n

Production of a high-resolution map of roads using ground-based mobile LiDAR scanning<\/h3> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Performance <\/h3>\n
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Performance of100-200 km<\/strong> per day with one car<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n Data product <\/h3>\n
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dense LiDAR point cloud, covering everything within 150 m<\/strong> around the scanner<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Accuracy <\/h3>\n
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positioning of any object with down to 5-7 cm<\/strong> accuracy<\/p> <\/div>\n <\/div>\n<\/div>\n\n <\/div>\n

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\n \"road_surveying_2-1\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Performance <\/h3>\n
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Performance of100-200 km<\/strong> per day with one car<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Data product <\/h3>\n
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dense LiDAR point cloud, covering everything within 150 m<\/strong> around the scanner<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Accuracy <\/h3>\n
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positioning of any object with down to 5-7 cm<\/strong> accuracy<\/p> <\/div>\n <\/div>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n

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\n Data in 3D <\/h3>\n
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take the advantage of the 3D data representation<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n Automation <\/h3>\n
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automatically extract positions of target objects like road signs, light poles, etc.<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Vegetation is not a hindrance <\/h3>\n
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the ability to obtain elevation marks in the presence of forest cover (the scanner \u201cbreaks through\u201d the vegetation)<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n Orthomosaic <\/h3>\n
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to make the subsequent vectorization more convenient, we create a point cloud based orthomosaic of the road and adjacent territory<\/p> <\/div>\n <\/div>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n

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\n \"point_cloud_MLS_square\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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\n Data in 3D <\/h3>\n
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take the advantage of the 3D data representation<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Automation <\/h3>\n
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automatically extract positions of target objects like road signs, light poles, etc.<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Vegetation is not a hindrance <\/h3>\n
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the ability to obtain elevation marks in the presence of forest cover (the scanner \u201cbreaks through\u201d the vegetation)<\/p> <\/div>\n <\/div>\n<\/div>\n\n\n

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\n \n \n <\/use><\/svg><\/em>\n <\/span>\n\n \n <\/span>\n <\/div>\n
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\n Orthomosaic <\/h3>\n
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to make the subsequent vectorization more convenient, we create a point cloud based orthomosaic of the road and adjacent territory<\/p> <\/div>\n <\/div>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n

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Mobile scanning system AGM-MS2.200<\/p> <\/div>\n<\/div>\n <\/div>\n

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  • Inertial system AGM PS M30<\/li>\n
  • Velodyne VLP 32 scanning system: Scanning frequency
    600kHz, Maximum range 200 m, field of view 360\u00b0
    degrees, scanning mirror rotation speed 20 rps<\/li>\n
  • 2-frequency multi-system GNSS 20 Hz<\/li>\n<\/ul> <\/div>\n<\/div>\n <\/div>\n <\/div>\n
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    Point cloud density<\/p> <\/div>\n<\/div>\n <\/div>\n

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    • 5000 points per square meter on the road surface at a speed of 20 km\/h<\/li>\n
    • 500 points per square meter on the road surface at a speed of 70 km\/h<\/li>\n<\/ul> <\/div>\n<\/div>\n <\/div>\n <\/div>\n
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      Application<\/p> <\/div>\n<\/div>\n <\/div>\n

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      • road scanning for inventory and certification<\/li>\n
      • scanning for topographic plan production<\/li>\n
      • mapping the areas where UAV flights are forbidden or impossible<\/li>\n<\/ul> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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        \n \n Deliverables <\/span>\n\n \n \n <\/span>\n <\/h2>\n<\/div>\n\n
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        Road and traffic organization scheme<\/h3>\n

        \u00a0based on the results of UAV surveying and\/or ground based mobile LiDAR scanning<\/p> <\/div>\n<\/div>\n <\/div>\n

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        \n \"road_map_MLS_square\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n
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        Technical passport<\/h3>\n

        of a road designed based on the results of UAV surveying and\/or ground based mobile LiDAR scanning<\/p> <\/div>\n<\/div>\n <\/div>\n

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        \n \"passport_road2\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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        Technical inspection of bridges and overpasses<\/h1> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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        • Ground-based and aerial photogrammetric survey<\/li>\n
        • Ground-based LiDAR scanning (optional)<\/li>\n
        • Accurate georeferencing<\/li>\n
        • Photogrammetric data processing and 3D model reconstruction<\/li>\n
        • High-resolution orthomosaic production<\/li>\n
        • Damage mapping and as-built drawings design<\/li>\n<\/ul>\n <\/div>\n<\/div>\n <\/div>\n
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          \n \"structure_inspection\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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          \n \n Deliverables <\/span>\n\n \n \n <\/span>\n <\/h2>\n<\/div>\n\n
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          Orthomosaic of any surface with a resolution of 1-2 mm per pixel<\/h3> <\/div>\n<\/div>\n <\/div>\n
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          As-built drawings and damage maps<\/h3> <\/div>\n<\/div>\n <\/div>\n <\/div>\n
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          \n \"ortho_zoom\" \n <\/div>\n \n \n <\/div>\n <\/div>\n
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          \n \"drawing_damage\" \n <\/div>\n \n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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          Overpass 3D model<\/h2> <\/div>\n<\/div>\n\n
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