Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views

摘要

Unsupervised learning of Self-Localization with Slow Feature Analysis (SFA) using omnidirectional camera input has been shown to be a viable alternative to established SLAM approaches. Previous models for SFA self-localization purely relied on omnidirecti