lidar-point-cloud

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

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

This repository provides implementation of an incremental k-d tree for robotic applications.

Tool for convert files into Magicavoxel file

Intensity-based_Lidar_Camera_Calibration

Use LiDAR to map the static world

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

C++/Python Sparse Volumetric TSDF Fusion

A Modular Optimization framework for Localization and mApping (MOLA)

Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Lidar Obstacle Detection

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection