# Pipeline Leak Detection Systems and Data Fusion: A Survey

arXiv: https://arxiv.org/abs/1902.03927 · HTML: https://mlsanity.com/paper/1902.03927/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Feb 2019.

## Built on by (most cited first, 1 of 1)

- [Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform](https://mlsanity.com/paper/2510.08770/) (2025)

## Abstract (arXiv)

The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state-of-the-art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring. A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques. A thorough analysis and comparison of all the recent works have been provided.