The Creation Cross-Section of Cut Slope by data from unmanned aerial vehicles A Case Study of National Highway 12 KM. 55-56

Authors

  • พีรภพ โพธิ์พงษ์ สาขาวิศวกรรมโยธาและสิ่งแวดล้อม คณะวิศวกรรมศาสตร์ มหาวิทยาลัยเทคโนโลยีราชมงคลล้านนา ตาก
  • ภาณุพล เล็กประเสริฐ สาขาวิศวกรรมโยธาและสิ่งแวดล้อม คณะวิศวกรรมศาสตร์ มหาวิทยาลัยเทคโนโลยีราชมงคลล้านนา ตาก
  • จักรพันธ์ ธงทอง สาขาวิศวกรรมโยธาและสิ่งแวดล้อม คณะวิศวกรรมศาสตร์ มหาวิทยาลัยเทคโนโลยีราชมงคลล้านนา ตาก

Keywords:

UAV, Cross Section, Cut Slope, Surveying

Abstract

Creating a cross-section currently uses ground surveys to survey the elevation of terrain. This is a method using humans to survey the actual terrain causing some areas to have a problem and obstruct preventing humans from accessing the area to be surveyed. Especially in the area of National Highway 12 Tak–Mae Sot is a forested area with steep mountains and deep ravines along the route, making the slope on cut slope very steep. Unmanned aerial vehicles to survey cut slopes are one option that can replace ground survey. This research aims to test the accuracy of Cross Section generated from imagery data from a UAV. The research has chosen the case study of National Highway 12 km. 55–56, which is an area with a steep cut slope, and the cut slope was improved by a shotcrete surface. The study will test the creation of a cross-section of data obtained from unmanned aerial vehicles to compare with data obtained from ground surveys. The case study found that the cross-section obtained from unmanned aerial vehicles differs from the ground survey at the centimeters. However, data obtained from surveys by unmanned aerial vehicles can be used to create a 3D model and can also observe a crack in the surface of the cut slope.

Published

2025-06-25

How to Cite

[1]
โพธิ์พงษ์ พ., เล็กประเสริฐ ภ., and ธงทอง จ., “The Creation Cross-Section of Cut Slope by data from unmanned aerial vehicles A Case Study of National Highway 12 KM. 55-56”, Thai NCCE Conf 30, vol. 30, p. SGI-20, Jun. 2025.

Issue

Section

Survey and Geographic Information System Engineering

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