Assessing the effectiveness of utilizing low-cost inertial measurement unit sensors for producing as-built plans

被引:0
|
作者
Kamel, Abdullah [1 ]
机构
[1] KING ABDULAZIZ UNIV, Dept Geomat, JEDDAH, Saudi Arabia
来源
OPEN GEOSCIENCES | 2025年 / 17卷 / 01期
关键词
motion sensors; Moasure ONE; as-built mapping; terrestrial mapping; PRECISION;
D O I
10.1515/geo-2025-0766
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
As-built mapping using terrestrial sensors is crucial for accurately documenting the final state of building structures. However, conventional methods often face limitations in urban environments, such as obstructions and the need for clear sightlines. This study evaluates the effectiveness of the low-cost Moasure ONE Inertial Measurement Unit sensor for producing as-built plans, addressing challenges associated with traditional surveying methods like total stations. The research investigates the Moasure ONE's capabilities in terms of cost, time efficiency, flexibility, and productivity, while adhering to the USA Federal Geographic Data Committee and American Society for Photogrammetry and Remote Sensing accuracy standards. The methodology includes a statistical study, data manipulation, georeferencing, and quality assessment using ground control points. Results indicate that Moasure ONE can achieve a horizontal positional accuracy (RMSEH1) of 17.7 cm, aligning with the required tolerances for detailed mapping. The findings suggest that Moasure ONE offers significant advantages over traditional methods, including reduced survey time and increased detail capture, making it a viable alternative for professional surveying tasks in construction and engineering projects.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Position Estimation with a low-cost Inertial Measurement Unit
    Llorach, Gerard
    Evans, Alun
    Agenjo, Javi
    Blat, Josep
    PROCEEDINGS OF THE 2014 9TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI 2014), 2014,
  • [2] Low-Cost Inertial Measurement Unit Calibration With Nonlinear Scale Factors
    Zhang, Xin
    Zhou, Changle
    Chao, Fei
    Lin, Chih-Min
    Yang, Longzhi
    Shang, Changjing
    Shen, Qiang
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (02) : 1028 - 1038
  • [3] A low-cost, redundant inertial measurement unit for unmanned air vehicles
    Sukkarieh, S
    Gibbens, P
    Grocholsky, B
    Willis, K
    Durrant-Whyte, HF
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2000, 19 (11): : 1089 - 1103
  • [4] Calibration of Low-cost Triaxial Inertial Sensors
    Rohac, Jan
    Sipos, Martin
    Simanek, Jakub
    IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2015, 18 (06) : 32 - 38
  • [5] Development of a High-Efficiency Pitch/Roll Inertial Measurement Unit Based on a Low-Cost Accelerometer and Gyroscope Sensors
    Okulski, Michal
    Lawrynczuk, Maciej
    2019 24TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2019, : 657 - 662
  • [6] Automatic Indoor as-Built Building Information Models Generation by Using Low-Cost RGB-D Sensors
    Li, Yaxin
    Li, Wenbin
    Tang, Shengjun
    Darwish, Walid
    Hu, Yuling
    Chen, Wu
    SENSORS, 2020, 20 (01)
  • [7] The Low Cost Micro Inertial Measurement Unit
    Jedrasiak, Karol
    Daniec, Krzysztof
    Nawrat, Aleksander
    PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 403 - 408
  • [8] Fusion of Low-Cost Imaging and Inertial Sensors for Navigation
    Veth, Major M.
    Raquet, J.
    PROCEEDINGS OF THE 19TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2006), 2006, : 1093 - 1103
  • [9] FLOW-INDUCED VIBRATION ANALYSIS USING A LOW-COST INERTIAL MEASUREMENT UNIT
    Leal, Aline Peres
    Fujarra, Andre Luis Condino
    Carnier, Rodrigo Matos
    Goncalves, Rodolfo Trentin
    Suzuki, Hideyuki
    PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 5, 2023,
  • [10] Calibration and Noise Identification of a Rolling Shutter Camera and a Low-Cost Inertial Measurement Unit
    Lee, Chang-Ryeol
    Yoon, Ju Hong
    Yoon, Kuk-Jin
    SENSORS, 2018, 18 (07)