shiguangjinghao

GSDN

Generative Sparse Detection Networks for 3D Single-shot Object Detection

ChineseQA-with-BERT

Final Project for EECS496-7

Group-Free-3D

Group-Free 3D Object Detection via Transformers

fcaf3d

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

flaskProject2

上传一个点云文本文件可以给出识别结果

pointnerf

Point-NeRF: Point-based Neural Radiance Fields

ORB-SLAM2_DENSE

ORB-SLAM2 simple point cloud and octomap mapping with ROS

MultiMap3D

Use ORB-SLAM2 to build a metricmap and localization, fcaf3d to detect 3D objects, and build a tracker database to manage the objects detected.

MultiMap3D

Use ORB-SLAM2 to build a metricmap and localization, fcaf3d to detect 3D objects, and build a tracker database to manage the objects detected.

mmdetection3d

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

ROS-Academy-for-Beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

mms_slam

DeFlowSLAM

code for "DeFlowSLAM: Self-Supervised Scene Motion Decomposition for Dynamic Dense SLAM"

ExplORB-SLAM

DytanVO

[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments

able-nerf

This is the official repo for ABLE-NeRF, an attention based/ transformer novel view synthesis work.

3di2i-translation

3D-Aware Multi-Class Image-to-Image Translation with NeRFs (CVPR 2023)

NeRF-Supervised-Deep-Stereo

A novel paradigm for collecting and generating stereo training data using neural rendering

jacobinerf

[CVPR'23] JacobiNeRF: NeRF Shaping with Mutual Information Gradient

SaNerf

Orbeez-SLAM

NeRF-SLAM

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

Semantic-SuperPoint

Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098

STDyn-SLAM

STDyn-SLAM: A Stereo Vision and Semantic Segmentation Approach for SLAM in Dynamic Outdoor Environments

RDS-SLAM

DS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods

SIVO

SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.

3D_object_recognition

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

Recognition_ml

点云识别

PointCloudTools

PointCloudTools是一款在Windows平台基于VS2017、Qt5.9.5、PCL1.8.1、VTK8.0.0源码编译开发的专门处理点云（.pcd、.ply、.obj等格式）文件的可视化工具。 该工具点云可视化使用的是vtk8.0.0编译生成的QVTKWidget窗口控件，使用PCL可以对点云进行滤波(filter)、特征提取(features)、关键点(keypoint)、 分割(segmentation)、识别(recognition)、可视化(visualization)等操作，可以对所有点云进行WGS84到平面坐标系转换，也包含将经纬度坐标转为UTM坐标的方法。 下载64位PCL1.8.164位下载路径：https://github.com/PointCloudLibrary/pcl/releases或http://unanancyowen.com/en/pcl181 PCL1.8.1对应的VTK版本为8.0.0，下载地址：https://gitlab.kitware.com/vtk/vtk/tree/v8.0.0