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gnss_lib_py

Modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates

gp-adf

Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)

gpmp2

Gaussian Process Motion Planner 2

gpslam

Sparse Gaussian Processes for SLAM

gpy

Gaussian processes framework in python

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gvins-dataset

A dataset containing synchronized visual, inertial and GNSS raw measurements.

hessian_sum_mixtures

ihgp

Infinite-horizon Gaussian processes

imusim

IMUSim - see http://www.imusim.org/

installros2

Scripts to install ROS2 on the NVIDIA jetsons

ipc

IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends

jetsongpio

A C++ library that enables the use of Jetson's GPIOs

jrmot_ros

Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

kinova

labs

Repository for labs

librsf

A robust sensor fusion library for online localization.

lidar_degeneracy_datasets

LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.

ltaom

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

m-loam

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

ma-lio

Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

multi-object-tracking-paper-code-list

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

optidrape

A Project for drape

pmf

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

pnp-depth

Implementation for "Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation"

posgo

pyloa

Learning on-line Algorithms with Python