I'm attempting to build a robot that leverages a particle filter to identify where it is relative to a map that is known. The robot only has IR sensors, so while it is able to determine its distance from landmarks, it does not know what landmark it is "looking" at.
I'm following this very helpful book to build my particle filter. In incorporating the sensor measurements, it is assumed that you know both the distance to a landmark and which specific landmark you are looking at. What would need to be done if you know the map and distance measurements, but not the specific landmark that you're observing? Would this require SLAM? Or could you simply increase the probability for particles that are about that distance from a landmark?