DRONE BASED INFRASTRUCTURE ASSESSMENT

The world in which we currently live is well equipped with a variety of conventional methods for analysing and assessing the geometry and state of civil structures. Buildings that don’t conform to seismic structural requirements run the risk of imposing serious damages. The vulnerability of a building to earthquake can be assessed through inspection that takes into account the expected damage progression of the associated component and the component’s contribution to structural system performance. Currently, buildings and other civil structures inspections are done manually in accordance with different set of norms. Such inspections may be expensive, risky, labor-intensive and resource-intensive, and time-consuming. Hence, this project named, DRONE BASED INFRASTRUCTURE INSPECTION proposes different methods that automate these inspections through UAV-based image data collection and a software library for post-processing that helps in estimating structural parameters.

Check out the Data Collection section for further information on how to collect the data, including how to use the project by following Instructions of the project.

Note

This project is under active development.

Contents

• Data Collection
  • Distance Between Adjacent Buildings
  • Plan Shape and Roof Area Estimation
  • Roof Layout Estimation
  • Crack Detection
  • Window Detection and Storey Height Estimation
• Instructions
  • Video and Log File Formats
• Modules
  • 1. Distance Between Adjacent Buildings
  • 2. Plan Shape and Roof Area Estimation
  • 3. Roof Layout Estimation
  • 4. Crack Detection
  • 5. Window Detection and Storey Count
  • 6. Storey Height Estimation
  • 7. Building Tilt Estimation
• Installation
  • SetUp of the Codebase
  • Running the Modules:
  • Installation of GUI (Under Development)
• Publications

Project Members

• Kushagra Srivastava

• Dhruv Patel

• Aditya Kumar Jha

• Mohhit Kumar Jha

• Jaskirat Singh

• Charvi Mendiratta

• Jaykant Kumar

Supervisors

• Dr Ravi Kiran Sarvadevabhatla

• Dr Harikumar Kandath

• Prof Pradeep Kumar Ramancharla

• Prof K Madhava Krishna