Software systems are hard to trust, especially when autonomous. To overcome this, formal verification techniques can be deployed to verify such systems behave as expected. Runtime Verification is one of the most prominent and lightweight approaches to verify the system behaviour at execution time. However, standard Runtime Verification is built on the assumption of perfect information over the system, that is, the monitor checking the system can perceive everything. Unfortunately, this is not always the case, especially when the system under analysis contains rational/autonomous components and is deployed in real-world environments with possibly faulty sensors. In this work, we present an extension of the standard Runtime Verification of Linear Temporal Logic properties to consider scenarios with imperfect information. We present the engineering steps necessary to update the verification pipeline, and we report the corresponding implementation when applied to a case study involving robotic systems.