DISSERTATION

Biologically inspired mobile robot vision localization

Siagian, Christian (author)

Year: 2015 University:   University of Southern California Digital Library

Abstract

The problem of localization is central to endowing mobile machines with intelligence. Vision is a promising research path because of its versatility and robustness in most unconstrained environments, both indoors and outdoors. Today, with many available studies in human vision, there is a unique opportunity to develop systems that take inspiration from neuroscience. In this work we examine several important issues on how the human brain deal with vision in general, and localization in particular.

Keywords:
Mobile robot Robustness (evolution) Machine vision Robot Robot vision Artificial vision Human–robot interaction

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Topics

Face Recognition and Perception
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Memory and Neural Mechanisms
Life Sciences →  Neuroscience →  Cognitive Neuroscience

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