There are 34 repositories under lidar-point-cloud topic.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
A list of references on lidar point cloud processing for autonomous driving
This repository provides implementation of an incremental k-d tree for robotic applications.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Lidar Obstacle Detection
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
Variants of Vision Transformer and its downstream tasks
Ground segmentation benchmark in SemanticKITTI dataset
Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"
An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.
LiDAR fog simulation
LiDAR snowfall simulation
Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.