The article introduces a new way to update inference in autonomous systems by re-using calculations from planning stages. By connecting inference and decision making processes, the researchers found that predictions made during decision making can efficiently update inference, even with inconsistent data. Their novel approach was tested in autonomous navigation scenarios, showing improved running time and estimation accuracy compared to traditional methods. This new method not only speeds up the process but also reduces computational complexity, making it a promising advancement in autonomous system development.