656 Open source projects that are alternatives of or similar to point-cloud-prediction

Software for verifying weather forecasts

R package for airborne LiDAR data manipulation and visualisation for forestry application

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

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Julia bindings for the displaz lidar viewer

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

A Python library for integrating model-based and judgmental forecasting

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Python bindings for the Point Cloud Library (PCL)

KITTI data processing and 3D CNN for Vehicle Detection

ECCV 2020 papers focusing on point cloud analysis

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Research platform for 3D object detection in PyTorch.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

This Project gives you an overall idea for Forecasting Mutual Funds

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

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

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

3D LIDAR-based Graph SLAM

LiDAR fog simulation

A hackable lidar viewer

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

Interactive Map Correction for 3D Graph SLAM

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

A Fast Knowledge Distillation Framework for Visual Recognition

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

Python 易經筮法、大衍之數、六十四卦、六爻、京房易、爻辭、日期占卦、占卜。A python package of Ichingshifa (also known as Yarrow Stalks Divination).

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

This is the official repository of the open-source Open Infra Platform software (as of April 2020).

Advanced Normalization Tools in R

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

FisheyeDistanceNet

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

➰ A Facial Recognition tool based on Open-CV.

Learning Convolutional Transforms for Point Cloud Geometry Compression

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

The PyTorch Implementation of F-ConvNet for 3D Object Detection

My small SLAM simulator to study "SLAM for dummies"

LSTM to predict wind speed

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.