Current research on indoor localization and navigation in changing environment? I'm trying to get up to speed on the latest research regarding indoor localization, scene classification, navigation in changing environment, etc.

Any advice would be appreciated, but I'm especially interested in recent research papers from vetted sources.
I would start with:


PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
Image-based localization using LSTMs for structured feature correlation
Image-based Localization using Hourglass Networks
UAN: Unified Attention Network for Convolutional Neural Networks
Scene Coordinate and Correspondence Learning for Image-Based
Localization


You can also search for articles using the 7-scenes dataset (Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images) which is pretty standard