Precise distance measurement with stereo camera: experimental results

Today, image processing is used in many areas, especially artificial intelligence. This is because images are thought to contain a lot of information. In addition, many distance measurement studies have used image processing techniques. However, no studies have reached these high sensitivity and accuracy rates that can be used in engineering. The motivation of the study is to obtain the results of the experimental application of the image processing method, which can measure distances with high sensitivity and can also be used in engineering fields. In the study, the distances of 19 different target objects were measured using Total Station, Laser Meter, and Developed Prototype (Image Meter). Total Station measurement results were used as a reference and the Laser Meter and Image Meter results were compared. As a result of the comparison, it was determined that the developed Image Meter had a smaller error rate in 11 of the 19 comparisons. Results were obtained with an average error of 1.24% as a result of 19 measurements made with the developed Image Meter. The experimental results were also compared with theoretical calculation. As a result of the comparisons, it was determined that the results with the developed Image Meter were acceptable and could be improved with mechanical arrangements.

Authors

Institutions

Publication Details

Journal
PeerJ Computer Science
Published
2025-07-21
DOI
https://doi.org/10.7717/peerj-cs.3057
Citations
1
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precise distance measurement with stereo camera: experimental results

Haydar Yanık, Bülent Turan
1 citations
PeerJ Computer Science
Image and Object Detection Techniques
1.28
article

Precise distance measurement with stereo camera: experimental results

Haydar Yanık, Bülent Turan
article en
1 citations

Abstract

Today, image processing is used in many areas, especially artificial intelligence. This is because images are thought to contain a lot of information. In addition, many distance measurement studies have used image processing techniques. However, no studies have reached these high sensitivity and accuracy rates that can be used in engineering. The motivation of the study is to obtain the results of the experimental application of the image processing method, which can measure distances with high sensitivity and can also be used in engineering fields. In the study, the distances of 19 different target objects were measured using Total Station, Laser Meter, and Developed Prototype (Image Meter). Total Station measurement results were used as a reference and the Laser Meter and Image Meter results were compared. As a result of the comparison, it was determined that the developed Image Meter had a smaller error rate in 11 of the 19 comparisons. Results were obtained with an average error of 1.24% as a result of 19 measurements made with the developed Image Meter. The experimental results were also compared with theoretical calculation. As a result of the comparisons, it was determined that the results with the developed Image Meter were acceptable and could be improved with mechanical arrangements.

PeerJ Computer ScienceVol. 11
Sivas Cumhuriyet Üniversitesi (TR), Amasya Üniversitesi (TR)
Openalex Percentile: Top 18%
Image and Object Detection Techniques
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.