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qq664956261's Projects

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nerf-loam icon nerf-loam

[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

nerf-loc icon nerf-loc

Code for ICRA2023 paper "NeRF-Loc: Visual Localization with Conditional Neural Radiance Field"

nice-slam icon nice-slam

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

optical_flow icon optical_flow

Using optical flow and graph-based vector field segmentation to detect moving objects.

pcl_1.9_tutorials icon pcl_1.9_tutorials

pcl中文教程主要为1.2~1.7版本,对于pcl1.9版本大多缺少官方提供的最新修改以及用法上的不正确

pl-vio icon pl-vio

monocular visual inertial system with point and line features

planarslam icon planarslam

A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

plueckernet icon plueckernet

PlueckerNet: Learn to Register 3D Line Reconstructions

pyslam icon pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

randla-net icon randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

rgbd-slam-tutor2 icon rgbd-slam-tutor2

The second version of RGBD SLAM tutorial. We will discuss more about pnp, tracking, multi-thread and loop closure methods. Please refer to my blog for details: www.cnblogs.com/gaoxiang12 .

s-fast_lio icon s-fast_lio

A simplified implementation of FAST_LIO (with Chinese note)

se2lam icon se2lam

(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping

semantic_slam icon semantic_slam

CNN (PSPNet) + ORB_SLAM2 语义SLAM Real time semantic slam in ROS with a hand held RGB-D camera

semantic_slam-2 icon semantic_slam-2

This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection

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