Simulating Visual Acuity for Autonomous Agent: A Data-Driven Approach

Abstract

The system that links intelligent agents to their world is their synthetic senses, allowing them to perceive and interact with the world around them. How such a system is modelled is important since an agent uses the data generated by its synthetic senses to make decisions and change behaviours. This paper will discuss a data-driven synthetic sight model for an autonomous agent that incorporates the concepts of human peripheral vision and visual acuity. We have developed and implemented a synthetic sight model that facilitates a good simulation of these physiological aspects of human sight.