Simultaneous Localization and Mapping

63 papers with code • 0 benchmarks • 9 datasets

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Greatest papers with code

ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras

raulmur/ORB_SLAM2 20 Oct 2016

We present ORB-SLAM2 a complete SLAM system for monocular, stereo and RGB-D cameras, including map reuse, loop closing and relocalization capabilities.

Simultaneous Localization and Mapping Visual Odometry

PyRobot: An Open-source Robotics Framework for Research and Benchmarking

facebookresearch/pyrobot 19 Jun 2019

This paper introduces PyRobot, an open-source robotics framework for research and benchmarking.

Robotic Grasping Robot Navigation +1

ORB-SLAM: a Versatile and Accurate Monocular SLAM System

raulmur/ORB_SLAM 3 Feb 2015

This paper presents ORB-SLAM, a feature-based monocular SLAM system that operates in real time, in small and large, indoor and outdoor environments.

Simultaneous Localization and Mapping

gradSLAM: Automagically differentiable SLAM

gradslam/gradslam 23 Oct 2019

Blending representation learning approaches with simultaneous localization and mapping (SLAM) systems is an open question, because of their highly modular and complex nature.

Representation Learning Simultaneous Localization and Mapping

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

MIT-SPARK/Kimera 15 Feb 2020

Our second contribution is to provide the first fully automatic Spatial PerceptIon eNgine(SPIN) to build a DSG from visual-inertial data.

3D Reconstruction Human Detection +3

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

MIT-SPARK/Kimera 6 Oct 2019

We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).

3D Reconstruction Simultaneous Localization and Mapping

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

MIT-SPARK/Kimera 4 Mar 2019

We propose instead to tightly couple mesh regularization and state estimation by detecting and enforcing structural regularities in a novel factor-graph formulation.

3D Reconstruction Simultaneous Localization and Mapping

GSLAM: A General SLAM Framework and Benchmark

zdzhaoyong/GSLAM ICCV 2019

SLAM technology has recently seen many successes and attracted the attention of high-technological companies.

Platform Simultaneous Localization and Mapping

InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure

victorprad/InfiniTAM 2 Aug 2017

Representing the reconstruction volumetrically as a TSDF leads to most of the simplicity and efficiency that can be achieved with GPU implementations of these systems.

3D Reconstruction Simultaneous Localization and Mapping

Unsupervised Scale-consistent Depth Learning from Video

JiawangBian/SC-SfMLearner-Release 25 May 2021

We propose a monocular depth estimator SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time.

Monocular Depth Estimation Monocular Visual Odometry +1