Smart Geometry 2018
This research investigates methods for using lidar as a means of real time interaction. The framework developed, takes the raw pointcloud data and converts it into trackable coordinates for visitors in the room. Early versions of this research used machine learning as way to interpret the pointcloud into trackable objects. This was achieved by using Unity to generate a simulated custom dataset. Once the method was confirmed in the simulation environment, the model was fed live lidar data and successfully tracked target objects.