leoriom

leoriom's Stars

• lyqun/PU-Net_pytorch

  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

  Language:Python7917

• utlive/SSEQ

  Language:MATLAB93

• wvangansbeke/Sparse-Depth-Completion

  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

  Language:Python47878

• Eromera/erfnet_pytorch

  Pytorch code for semantic segmentation using ERFNet

  Language:Python425125

• koide3/fast_gicp

  A collection of GICP-based fast point cloud registration algorithms

  Language:C++1.3k317

• MISTLab/Swarm-SLAM

  Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems

  40241

• zht1117/LiDAR-PGO-uncertainty

  40

• lian-yue0515/MM-LINS

  a Multi-Map LiDAR-Inertial System for Over-Degraded Environments

  Language:C++1095

• leggedrobotics/L3E

  Learning-based localizability estimation for robust LiDAR localization.

  884

• hku-mars/Point-LIO

  Language:C++745124

• MetaSLAM/AutoMerge_Docker

  AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

  26712

• lab-sun/SLAMesh

  The official implementation of SLAMesh.

  Language:C++37921

• SRainGit/CAE-LO

  CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

  Language:Python11328

• hehern/lidar_perception

  A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.

  Language:C++11540

• JingwenWang95/DSP-SLAM

  [3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

  Language:C++52295

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.4k1.2k

• hku-mars/r3live

  A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

  Language:C++2k432

• changhao-chen/deep-learning-localization-mapping

  A collection of deep learning based localization models

  633126

• leggedrobotics/delora

  Self-supervised Deep LiDAR Odometry for Robotic Applications

  Language:Python23549

• raoyongming/PointGLR

  [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

  Language:Python12017

• NUAAXQ/awesome-point-cloud-analysis-2023

  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

  1.5k192

• beedotkiran/Lidar_For_AD_references

  A list of references on lidar point cloud processing for autonomous driving

  747219

• amusi/awesome-lane-detection

  A paper list of lane detection.

  2.9k772

• ndrplz/self-driving-car

  Udacity Self-Driving Car Engineer Nanodegree projects.

  Language:C++2.8k1.4k

• Lukas-Justen/Lane-Marking-Detection

  This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

  Language:Jupyter Notebook11024

• Hardy-Uint/awesome-pointcloud-processing

  awesome PointCloud processing algorithm

  12635

• Hardy-Uint/awesome-Autopilot-algorithm

  some algorithm about self-driving car，mainly including perception algorithm，2D/3D object detection，Semantic segmentation and so on

  16036

• ApolloAuto/apollo

  An open autonomous driving platform

  Language:C++25.1k9.7k

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k2.9k