tina1994 Goto Github PK

a-loam

Advanced implementation of LOAM

cape

Cylinder and Plane Extraction from Depth Cameras

deeplio

Deep Lidar Inertial Odometry

deepmapping

code/webpage for the DeepMapping project

dh3d

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

efficient-ransac-for-point-cloud-shape-detection

Efficient RANSAC for Point-Cloud Shape Detection

kitti_deeplab

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

libsgm

Stereo Semi Global Matching by cuda

lidar-iris

LiDAR Iris for Loop-Closure Detection(IROS 2020)

lidar_line_downsample

Lidar line downsampling for KITTI dataset, transfer lidar the number of lidar lines from 64 to 32, 16, 8, etc.

mbplanner_ros

Motion-primitives Based Planner for Fast & Agile Exploration

multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

organized_segmentation_tools

peac

PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

ros_detect_planes_from_depth_img

A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.

semi-global-matching

Semi-Global Matching

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

slambook

unet

this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101