Ground-penetrating radar (GPR) is often used to locate utilities like pipes and cables in the subsurface. In many GPR surveys, a full grid pattern is performed even if the goal is to locate just a few utilities. This approach results in extended operational time. The aim of this project was to develop an adaptive search pattern for utility mapping that uses as short a path as possible, and that could be applied to an autonomous single-channel GPR system in the future. The search pattern was developed and simulated with Python. Animation and static plots were generated to demonstrate and evaluate its performance. A few pipe configurations were created for testing and performance evaluation. The result of the project is a search pattern that can traverse and map a network of utilities. It is able to find and map most pipes in test configurations but there are corner cases that need more attention. It can be used as a guide for a human operator, which means that a computer tells the operator how to move the system. The efficiency of the search pattern was evaluated. On a fairly sparse network of pipes, it can reduce the time consumption by at least 50% compared to the corresponding grid search.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-226655 |
| Date | January 2024 |
| Creators | Sjöberg, Erik |
| Publisher | Umeå universitet, Institutionen för fysik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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