The current generation of Mobile Mapping Systems (MMSs) capture increasingly larger amounts of data in a short time frame. Due to the relative novelty of this technology there is no concrete understanding of the point density that differ- ent hardware configurations and operating parameters will exhibit on objects at specific distances. Depending on the project requirements, obtaining the required point density impacts on survey time, processing time, data storage and is the underlying limit of automated algorithms. A limited un- derstanding of the capabilities of these systems means that defining point density in project specifications is a compli- cated process. We are in the process of developing a method for determining the quantitative resolution of point clouds collected by a MMS with respect to known objects at spec- ified distances. We have previously demonstrated the capa- bilities of our system for calculating point spacing, profile angle and profile spacing individually. Each of these ele- ments are a major factor in calculating point density on arbitrary objects, such as road signs, poles or buildings - all important features in asset management surveys. This paper will introduce the current version of the MobIle Map- ping point densIty Calculator (MIMIC), MIMIC’s visuali- sation module and finally discuss the methods employed to validate our work
