seaun163 Goto Github PK

11

3d-slam-tutorial

A visual odometry and 3D SLAM based on optimization

3d_object_recognition

recognize and localize an object in 3D Point Cloud scene using 3D-CNNs

3dcnn.torch

Volumetric CNN for feature extraction and object classification on 3D data.

3dmodel_feature

Code for extracting 3dcnn features of CAD models

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

awesome-object-pose

This repository is a curated list of papers and open source code for 6D Object Pose Estimation.

awesome-semantic-segmentation

awesome-semantic-segmentation

brigadier

Fetch and install Boot Camp ESDs with ease.

caffe

Caffe: a fast open framework for deep learning.

cartographer_detailed_comments

cloudrobot-semantic-map

Robot builds a semantic map on object level based on hybrid cloud

cpf_segmentation

Constrained Plane Fitting library for unsupervised segmentation of 3D point clouds

create-voc2007-dataset

Create VOC2007 dataset tools

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

deepslam

Replicating Convolutional Neural Network-based Place Recognition for STAT946

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dpptam

DPPTAM: Dense Piecewise Planar Tracking and Mapping from a Monocular Sequence

dr-spaam-detector

DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data

dynaslamreview

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.

effective_robotics_programming_with_ros

Effective Robotics Programming with ROS

elasticfusion

Real-time dense visual SLAM system

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fizbin.kinect.gestures

foresee-navigation

Semantic-Segmentation based autonomous indoor navigation for mobile robots

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

github-search

github search helper

gridmap_laser_rgbd_fusion

Detect 3D obstacle by sensor fusion of 2D laser and RGB-D camera,then 3D obstacle obstacle of not included in 2D gridmap, added into 2D gridmap

hawk_katalog

A gesture controlled catalogue app.