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demon

DeMoN: Depth and Motion Network

densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping". Full code will be released when the paper is accepted.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diffvm

differentiable virtual machine

dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

dlvm-core

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

drl-ai

dtcraft

A High-performance Cluster Computing Engine

dynamicsemanticmapping

Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes

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.

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

ethzasl_msf

MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)

ethzasl_ptam

fast-rtps

Implementation of RTPS Standard

fmm

Fast map matching, an open source framework in C++

g2o

g2o: A General Framework for Graph Optimization

gen

A general-purpose probabilistic programming system with programmable inference

gps2roadnetwork

Reading list of the topic about utilizing vehicle generated GPS data to update road networks

gpscalibration

A meter level precision GPS calibrator for out-door robots by fusion sensors of GPS satellite, point cloud, IMU and others. SLAM, various stochastic process models, point set registration, and Kalman filter are used.

gradient-halide

grid_map

Universal grid map library for mobile robotic mapping

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

gtsam

GTSAM modified to include Sim3 types.

gtsam-1

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

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

halide

a language for fast, portable data-parallel computation

holodeck

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

hololensforcv

Sample code and documentation for using the Microsoft HoloLens for Computer Vision research

hw

RTL, Cmodel, and testbench for NVDLA