Texas Instruments' mmWave Evaluation Module's high accuracy visualizer
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Updated
Jul 11, 2019 - HTML
Texas Instruments' mmWave Evaluation Module's high accuracy visualizer
A webpage serves as a test and demo to showcase the execution of code at runtime using PixiJS versus canvas methods and to demonstrate the duration of the drawings.
Visualizer for data from Texas Instruments' mmWave radar SoCs
Une application qui permettra de visualiser l'environnement de chaque établissement de l’Université de Lorraine pour une visite virtuelle où des points d’intérêts et les objets virtuels sont ajoutés à différentes scènes.
Wave Radar Inversion Code (WaveRIC) as described in Alattabi, Cahl and Voulgaris 2019, doi:10.1175/JTECH-D-18-0166.1
Workshop on Machine Learning for Signal Processing in Wireless Communications, Sensing and Radar
Control smart bulb via hand gestures with Google Pixel 4 Soli radar.
Static api and web page with information about giveaways, discounts and free games from Epic Games store.
Projeto realizado na disciplina de Introdução a Engenharia em 2018-2
This repository contains the code for creating radar charts to visualize the performance of various models based on multiple evaluation metrics. The radar charts are generated from a CSV file containing the models' metrics, and the resulting charts are saved as SVG files.
Swell Wave Radar Inversion Code (WaveRIC) as described in Al-Attabi, Voulgaris and Conley 2021, doi:10.1175/JTECH-D-20-0186.1
Texas Instruments' mmWave Evaluation Module's sensing estimator
Une application qui permettra de visualiser l'environnement de chaque établissement de l’Université de Lorraine pour une visite virtuelle où des points d’intérêts et les objets virtuels sont ajoutés à différentes scènes.
2D/ 3D object detection, segmentation, depth estimation for self-driving car
An electron app, providing a visual indicator of obstacles observed by an ultra-sonic sensor.
The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.
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