bexcite

Modern-CPP-Programming

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

rerun

Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

mlx-examples

Examples in the MLX framework

FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

TEASER-plusplus

A fast and robust point cloud registration library

LVM

kiss-icp

A LiDAR odometry pipeline that just works

pypose

A library for differentiable robotics.

direct_lidar_odometry

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

KF-GINS

An EKF-Based GNSS/INS Integrated Navigation System

NeRF-LOAM

[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

open3d_slam

Pointcloud-based graph SLAM written in C++ using open3D library.

sr_lio

A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency

vdbfusion

C++/Python Sparse Volumetric TSDF Fusion

SC-A-LOAM

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

Wheel-INS

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

q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

robotics

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

TRAVEL

Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans

ukfm

Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)

Patchwork2

Are you ready for fast and robust ground-segmentation for all terrain robots?

ba_md_slam

Photometric SLAM and Bundle Adjustment for RGB-D and LiDAR in CUDA.

LIO-EKF

Maybe the simplest LiDAR-inertial odometry that one can have.

ceres_sandbox

My small examples of teaching myself ceres solver

A1_SLAM

A1 SLAM: Quadruped SLAM using the A1's onboard sensors

Continuous-Pose-in-NeRF

Implementation of Continuous Pose for Monocular Cameras in Neural Implicit Representation

color-point-cloud

Create color point clouds with ROS2

ptudes-lab

P(oint) (e)Tudes lab: Lidar odometry, SLAM and visualization experiments

mekf

Multiplicative Extended Kalman Filter for illustrative purposes