under construction ...
•SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
•Semi-Dense 3D Semantic Mapping from Monocular SLAM
•Classification and Semantic Mapping of Urban Environments
•CubeSLAM: Monocular 3D Object Detection and SLAM without Prior Models
•Structure Aware SLAM using Quadrics and Planes
•SegMap: 3D Segment Mapping using Data-Driven Descriptors
•Place Categorization and Semantic Mapping on a Mobile Robot
•Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
•Cognitive Mapping and Planning for Visual Navigation
•MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
•Semantic Visual Localization
•Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment
•SemanticSLAM: Using Environment Landmarks for Unsupervised Indoor Localization
•X-View: Graph-Based Semantic Multi-View Localization