Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
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Updated
Nov 29, 2020 - C++
Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
Registration of human MRT point clouds
Dora The Mug Finder: Detection and classification of items placed on top of a table using point cloud processing and neural networks.
Pytorch implementation of EPCU (Enhanced Point Cloud Upsampling using Multi-branch Network and Attention Fusion, COSITE, 2021)
Official Pytorch implementation of paper: "SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion"
PCD annotation processing and guideline based on Semantic Segmentation Editor
FLS point cloud registration library.
List of courses I took within MVA master.
A re-implementation of A-LOAM with more modularized design and clearer logic
Implementation of point transformer for point cloud classification and segmentation
Benchmark of compressing sequential point clouds
Python scripts for converting mesh formats, mesh simplification and mesh rigid transformation
[AAAI 2023 Distinguished Paper] Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation
Toolkit for Point Cloud Processing
diffCheck is a CAD-integrated tool for evaluating digital timber fabrication processes.
Point TransformER - Paper Collection of Transformer based, Unsupervised and Self-supervised Point Cloud Understanding
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
This code is designed to extract a representative curve (or a thin center line) from a noisy 3D point cloud, especially when the point cloud has discernible geometric patterns. Given a noisy point cloud that has an inherent structure or shape, the goal is to identify and trace a continuous curve that best captures the essence of that shape.
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
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