Detection of object boundary from point cloud by using multi-population based differential evolution algorithm

Karkınlı, Ahmet Emin

doi:10.1007/s00521-022-07969-w

Cited by 5 publications

(1 citation statement)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Development of micro-dimensions of sensors and electro-mechanical components lead to support these systems with high computational power. This digital advancement has been aided by different technology advances, resulting in a broader use for the 3D documentation process [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Investigation of geometric object and indoor mapping capacity of Apple iPhone 12 Pro LiDAR

GÜNEN,

ERKAN,

ALİYAZICIOĞLU

et al. 2023

Mersin Photogrammetry Journal

View full text Add to dashboard Cite

LiDAR (light detection and ranging) sensors use laser beams to calculate distances in the surroundings. These sensors can be applied to a wide range of tasks, and they are frequently helpful in tasks like building 3D maps, navigating airplanes, robots, conducting mining operations, and automated driving. High-resolution distance measurements are taken by LiDAR sensors, but they also gather environmental data. This information aids in locating, identifying, and quantifying things and their surroundings. The iPhone 12 Pro, which Apple released in 2020, was evaluated for accuracy with various geometric shapes and its capacity to recognize indoor environments. Free of charge 3D Scanner and the Clirio Scan application were employed in this situation. However, it was found that the root mean square error and mean error in indoor mapping were ±1.41 cm and -0.56 cm in 3D Scanner and ±3.94 cm and -0.60 cm in the Clirio Scan application, respectively, despite the findings obtained showing low accuracy in scanning small geometric objects due to the scanning difficulty. Clirio does not reject the null hypothesis in the t-test that was conducted. The accuracy of the LiDAR sensor in indoor mapping has been shown to be more promising than that of small items. In order to evaluate the reliability and reusability of the indoor mapping application according to reference measurements, intraclass correlation test was performed and the results were determined to be reliable.

show abstract

Section: Introductionmentioning

confidence: 99%