| The Suitability of Terrestrial Laser Scanning For Layout Planning of Ship Engine Rooms |
| Paper ID : 1131-ICRSSSA |
| Authors |
|
Ateaya Bekheet Azeez1, Ashraf Mohamed Ahmed Sharawy1, Asmaa A. Mandouh *2, Abdelrahman Ali Wahba3, Mohammed Elsaeed Elsawwaf4 1Emeritus Professor, Aerial Photography & Aviation Dep., National Authority for Remote Sensing and Space Sciences 2Assistant Researcher, Aerial Photography & Aviation Dep., National Authority for Remote Sensing and Space Sciences 3Surveying and Aerial Photography, NARSS 4Surveying Engineer, Aerial Photography & Aviation Dep., National Authority for Remote Sensing and Space Sciences |
| Abstract |
| Nowadays, the terrestrial laser scanner (TLS) is increasingly in demand in many remote sensing applications, as this type of scanner contains two sensors to produce 3D point clouds and images. This is due to its high efficiency in capturing millions of point clouds in a short period, allowing users to create more accurate and detailed 3D models of the obtained elements. Due to the economic importance of Safaga Port in the Arab Republic of Egypt on the Red Sea, the maintenance of ships in the port, and consequently, the survey of engine rooms, as the main task of the maintenance procedure, are of great importance for Safaga Port Authority. In the current research, the scanning process for the engine of a cargo ship was done using a terrestrial laser scanner Leica P30. Firstly, a field inspection of the ship was done. Then, fixation and collection of coordinates for ground control points that will be used for georeferencing of different scenes were executed. After that point, clouds and images for different scanning positions were captured. Preprocessing (e.g., alignment, cleaning, …) of point clouds was made utilizing commercial package software Cyclone. Finally, the required dimensions of engine rooms, as well as complete 3-D models, are calculated and offered through the True View visualization tool. |
| Keywords |
| Terrestrial Laser Scanner, Leica, Cyclone, Ship Engine, Point Cloud. |
| Status: Accepted (Oral Presentation) |
