pipigenius

autodiff

automatic differentiation made easier for C++

ccm_slam

CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams

covins

DPT

Dense Prediction Transformers

dro-sfm

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

geodetic_utils

Simple library for converting coordinates to/from several geodetic frames (lat/lon, ECEF, ENU, NED, etc.)

gradslam-1

gradslam is an open source differentiable dense SLAM library for PyTorch

interactive_slam

Interactive Map Correction for 3D Graph SLAM

LAIS

Lecture_ADSE

line_detection

D-LSD: a Distorted Line Segment Detector for Calibrated Images

LVI-SAM

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

MonoRec

Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

msckf_cg

Modified version of KumarRobotics/msckf_vio (commit e3a39a9 on Jul 26, 2019), a stereo version of MSCKF.

odoviz

3D Odometry Visualization and Processing Tool

OmniPhotos

Source code for "OmniPhotos: Casual 360° VR Photography"

pixloc

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

pyquaternion

A fully featured, pythonic library for representing and using quaternions

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

RemoteSLAM

Provide building blocks (software, hardware and algorithms) for implementing SLAM using small sensors

rootba

Square Root Bundle Adjustment for Large-Scale Reconstruction

rpg_svo_pro_open

sgemm_hsw

This is an implementation of sgemm_kernel on L1d cache.

svo_edgelet

A more robust SVO with edgelet feature

VI-Simulator

Visual Inertial Simulator for Visual Odometry/SLAM algorithms

VID-Fusion

VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation

VIDO-SLAM

VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects pose and track objects.

vio_data_simulation

Generate imu data and feature in camera frame. You can use this data to test your VINS.

X-StereoLab

SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE