🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
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Updated
Apr 10, 2024 - Jupyter Notebook
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
ROS & ROS2 Implementation of Patchwork++
3D点云语义分割汇总,所有顶会论文以及一些arxiv上的最新论文
A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).
This is the official repository of the original Point Transformer architecture.
Fast Segmentation of 3D Point Clouds A Paradigm on LiDAR Data for Autonomous Vehicle Applications
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)
This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis
Course submission material for Sensor Fusion and Camera based tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree.
Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)
Deep Learning based 3D Point Cloud Classification
3D point cloud data (npy file) plot(viewer) in python and mayavi.
[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"
Détection de points bords dans un nuage de points
Semantic Aware Map Metrics
A PyTorch implementation of Point Transformer that can handle the input data in batch mode.
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
3D Scene Reconstruction Based on Stereo Vision.
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