2016
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues
RSS 2016poster
In order to track dynamic objects in a robotâs environment, one must first segment the scene into a collection of separate objects. Most real-time robotic vision systems today rely on simple spatial relations to segment the scene into separate objects. However, such methods fail under a variety of…