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

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

A tracker based on joint probabilistic data association filtering.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

scikit-fusion: Data fusion via collective latent factor models

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.

[TITS 2023] Dataset-Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

Remote Sensing Dataset fetcher, loader and benchmarker utils for Joint Classification of Hyperspectral and LiDAR/SAR Data

[TITS 2023] Method-Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

Multimodal sentiment analysis using hierarchical fusion with context modeling

Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews

HSI and LiDAR image fusion based on Deep Learning

causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.

(Multiblock) Partial Least Squares Regression for Python

A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas

[ISPRS.J'17] Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

Multi-view clustering with flexible ensemble structures.

Belief functions theory (Dempster-Shafer theory) implementation in C++

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19

Public repository of our IGARSS 2023 submission

Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.

🍊 :link: Data fusion add-on for Orange3

List of deep learning models proposed for remote sensing (RS) multi-view data

Create RGB point cloud from KITTI raw data, project it to 2D representation

A python library for data fusion

The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.

Tracks position of a vehicle by fusing data obtained from an MPU9250 and an optical displacement sensor using Kalman Filter.