This project consists in the development of a full-stack web application that implements an advanced analytical dashboard, specifically designed for monitoring and controlling autonomous vehicles within the context of the Bosch Future Mobility Challenge (BFMC). The web application stands out for its seamless integration with autonomous vehicles through ROS2 (Robot Operating System 2) nodes, offering a complete system for real-time monitoring, control capabilities, and advanced data visualization. The developed web platform serves as a centralized hub for monitoring and controlling the autonomous vehicle, providing real-time visualization of data from vehicle sensors, performance analysis to support the development and testing of the autonomous car. The dashboard is characterized by its modern and scalable architecture, combining cutting-edge technologies such as React with TypeScript for the frontend and Flask for the backend, ensuring optimal performance in real-time data management.
Questo progetto consiste nella realizzazione di una full stack web application che implementa una dashboard analitica avanzata, progettata specificatamente per il monitoraggio e il controllo dei veicoli autonomi nell’ambito della Bosch Future Mobility Challenge (BFMC). L’applicazione web si distingue per la sua perfetta integrazione con i veicoli autonomi attraverso i nodi ROS2 (Robot Operating System 2), offrendo un sistema completo di monitoraggio in tempo reale, capacità di controllo e visualizzazione avanzata dei dati. La piattaforma web sviluppata costituisce un hub centralizzato per il monitoraggio e il controllo del veicolo autonomo, fornendo una visualizzazione real-time dei dati provenienti dai sensori dei veicoli, l’analisi delle prestazioni per il supporto allo sviluppo e il testing della vettura autonoma. La dashboard si caratterizza per la sua architettura moderna e scalabile, che combina tecnologie all’avanguardia come React con TypeScript per il frontend e Flask per il backend, garantendo prestazioni ottimali nella gestione dei dati in tempo reale.
Sviluppo di una dashboard di monitoraggio per macchine a guida autonoma
SERLONI, LORENZO
2024/2025
Abstract
This project consists in the development of a full-stack web application that implements an advanced analytical dashboard, specifically designed for monitoring and controlling autonomous vehicles within the context of the Bosch Future Mobility Challenge (BFMC). The web application stands out for its seamless integration with autonomous vehicles through ROS2 (Robot Operating System 2) nodes, offering a complete system for real-time monitoring, control capabilities, and advanced data visualization. The developed web platform serves as a centralized hub for monitoring and controlling the autonomous vehicle, providing real-time visualization of data from vehicle sensors, performance analysis to support the development and testing of the autonomous car. The dashboard is characterized by its modern and scalable architecture, combining cutting-edge technologies such as React with TypeScript for the frontend and Flask for the backend, ensuring optimal performance in real-time data management.| File | Dimensione | Formato | |
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TESI_LORENZO_SERLONI (8).pdf
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4.23 MB | Adobe PDF |
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https://hdl.handle.net/20.500.12075/24671