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A LiDAR-inertial odometry for dynamic environments.
FAST-LIO of dynamic object removal based on optical path principle
A fast and robust global registration library for outdoor LiDAR point clouds.
Ground segmentation benchmark in SemanticKITTI dataset
g2o: A General Framework for Graph Optimization
This repo is aimed to collect and update annotated versions of popular SLAM algorithms.
Implementation of my article "A Robust Statistics Approach for Plane Detection in Unorganized Point Clouds"
Open3D: A Modern Library for 3D Data Processing
Benchmarks of approximate nearest neighbor libraries in Python
Framework for evaluating ANNS algorithms on billion scale datasets.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
PointPillar with TensorRT and ROS 1 for Visualization
Visualizer for neural network, deep learning and machine learning models
Add ROS node based on PointPillars_MultiHead_40FPS
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)
[ECCV 2024 Oral] PointLLM: Empowering Large Language Models to Understand Point Clouds
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating
A re-implementation of CUDA-PointPillars with boolmap vfe
A list of papers and datasets about point cloud analysis (processing)
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.