512 Open source projects that are alternatives of or similar to FLAT

Semantic3D segmentation with Open3D and PointNet++

30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …

ML Dataset Governance Policy for Autonomous Vehicle Datasets

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

Robotic simulation in Unity with ROS integration.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM

Self Driving Cars Longitudinal and Lateral Control Design

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

register 3D point clouds using rotation, translation, and scale transformations.

Gym environments and agents for autonomous driving.

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

The Australian Government, through Positioning Australia (part of Geoscience Australia), is funding the design, development and operational service of a Global Navigation Satellite System (GNSS) position correction system - the Ginan service and toolkit. The application of the Ginan correction service by a GNSS device has the potential to increa…

Natural Language Attacks in a Hard Label Black Box Setting.

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Paper list of deep learning on point clouds.

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

No description or website provided.

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Create 3D labelled bounding boxes in RViz

An implementation of AVP-SLAM and some new contributions

C++ code for triangulating Point Cloud data and displaying it

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Experiments on unsupervised point cloud reconstruction.

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

ROS bridge for RTKLIB

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

Edge-detection application with PointCloud Library

"From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder" and "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

No description or website provided.

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.

TF2 implementation of PointNet for segmenting point clouds

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

nmea_msgs is a ROS package containing messages related to the NMEA standard

A version of RTKLIB optimized for single and dual frequency low cost GPS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch. Documentation for RTKLIB is available at rtklib.com. This software is provided “AS IS” without any warranties of any kind so please be careful, especial…

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Motion Planner for Self Driving Cars

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

4th place solution in Baidu Autonomous Driving Lane Segmentation