An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements
A python package to download and analyze the Global Precipitation Measurement Mission (GPM) data archive
#计算机科学#Python code to assist in familiarizing meteorologists with machine learning
#计算机科学#Gait Based User Recognition from mmWave Radar Data
#计算机科学#NTU RGB+D Dataset Action Recognition with GNNs and CNNs
#计算机科学#Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)
This tutorial offers a comprehensive guide to computing and visualizing the radiation patterns of phased array antennas using Python, suitable for both beginners and advanced users interested in ante...
#计算机科学#This repository contains codes and data related to the project Multi-human detection with impulse radio ultra-wideband (ir-uwb) radar sensors.
2018 Short course for Python at the ASR ARM Meeting
#计算机科学#Multi-task learning using message passing graph neural network for radar based perception functions
#计算机科学#TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
#计算机科学#Kalman filters are good at taking noisy sensor data and smoothing out the data to make more accurate predictions.
#计算机科学#RnD Topic: Object Detection in Adverse Weather Conditions using Tightly-coupled Data-driven Multi-modal Sensor Fusion
Source code related to the paper "Passive Channel Charting: Locating Passive Targets using Wi-Fi Channel State Information"
Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) ...
Code accompanying "Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array" by Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario...
