A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813

orb-slam2 with semantic label

Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"

Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes

Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference

Implementation of Volume-DROID

Efficient and Robust Semantic Mapping for Indoor Environments

[IROS2024]DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques

Semantic DSP Map in paper "Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments"

Autonomous Exploration, Construction and Update of Semantic Map in real-time

Object-based CNN

A SEmantic Modeling machIne to build Knowledge Graphs with Graph Neural Networks

InEKF Localization and Semantic Mapping on the KITTI Dataset

This is a robotic package for an algorithm for visual teach and repeat

Learning Aided Semantic Bayesian Kernel Inference for 3D Semantic Global Mapping

This package contains ROS nodes that are able to generate a labelled pointcloud and create a semantic octomap representation.

This code is an initial version of the change detection algorithm developed using the ZED 2 stereo camera. The program was developed by Levente Göncz at SZTAKI (Institute for Computer Science and Control) in a framework of a 4 months long project.