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infinitam

A Framework for the Volumetric Integration of Depth Images

ipython_notebook

isam

iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM).

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

jetson-reinforcement

Deep reinforcement learning libraries for Jetson with pyTorch and openAI Gym

joint-vo-sf

Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering

kalibr

The Kalibr calibration toolbox

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kccareid

Matching People across Camera Views using Kernel Canonical Correlation Analysis

keypoint-learning

Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints"

kfast

Implementation of FAST feature detector for computer vision (Rosten 2006) using AVX2 to outperform canonical implementation by up to 600%.

kidnapped-vehicle

Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.

kinectslam6d

Simultaneous Localization and Mapping with 6DoF using the Kinect sensor (GraphSLAM)

kintinuous

Real-time large scale dense visual SLAM system

l-slam

Low Dimensional Simultaneous Localisation and Mapping (L-SLAM)

la3dm

Learning-aided 3D mapping

laelaps_sim

laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

laserimucalibration

Detect movements in Pointclouds to calibrate Laserscanner with Interial Measurement Units and GPS

laserlib

Library for 3D LiDAR perception

lattice_planner

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

learnerdetector

C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Guiyang Liu

learnviorb

learnviorb_noros

this version of viorb is revised based on LearnVIORB by wanjing which does not use ros framwork.

leg_tracker

lego-loam

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

libcnn

libcnn++

libcudavoting

A library for tensor voting on 3D point-clouds using GPU (NVIDIA).

libelas

LIBELAS: Library for Efficient Large-scale Stereo Matching (Unofficial fork)

libelas-gpu

Implementation of LIBELAS in cuda.