programath's repositories

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FAST_LIO_SLAM

LiDAR SLAM = FAST-LIO + Scan Context

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faster-lio

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

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packnet-sfm

TRI-ML Monocular Depth Estimation Repository

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2D-GS-Viser-Viewer

Simple Viser Viewer for 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

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basalt-mirror

Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt

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BundleFusion

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

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cascade-stereo

cascade-stereo

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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DenseSurfelMapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

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dsm

Direct Sparse Mapping

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DynSLAM

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

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Flow-Motion-Depth

This is the project page of the paper "Flow-Motion and Depth Network for Monocular Stereo and Beyond''

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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Insta-DM

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

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LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

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LOAM_NOTED

loam code noted in Chinese(loam中文注解版)

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mhjcbb

Multiple hypothesis joint compatibility branch and bound (MHJCBB)

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openslam_vertigo

vertigo repos from OpenSLAM.org

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runbot_custom_localization

VINS-Fusion based visual-inertial SLAM with tightly-coupled wheel odometry for outdoor delivery robot

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self_commit_ORB-SLAM2

ORB-SLAM2 源码注释, 基于泡泡机器人的注释版本

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TEASER-plusplus

A fast and robust point cloud registration library

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VI-Stereo-DSO

Direct sparse odometry combined with stereo cameras and IMU

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Visual_SLAM_Related_Research

视觉(语义) SLAM 相关研究跟踪

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VOLDOR

VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.

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Wheel-INS

A wheel-mounted MEMS IMU-based dead reckoning system.

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xtreme1

Xtreme1 - The Next GEN Platform for Multimodal Training Data. #3D annotation, 3D segmentation, lidar-camera fusion annotation, image annotation and rlhf tools are supported!

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