Improving People Detecting Infrastructures for the Purpose of Modeling Human Behavior

Abstract

Incorporating robots into our everyday lives requires robots to have the ability to act and behave as humans. One method of reciprocating human behavior into these robots is through intent recognition. Collecting interpersonal navigation data in a variety of environments will lead to more effective models of human behavior. We will fuse camera and laser sensor data to detect human poses while simultaneously locating their relative positions and movements. This information can apply to better understand intent recognition and autonomous navigation behavior generation.