Performance modules on a modular computing architecture for autonomous driving
Fully autonomous vehicles are expected to be the new era in the upcoming future resulting in a huge increase of data from sensors. To manage this, a modular centralized computing architecture is proposed, consisting of a powerful intelligent central computing platform able to connect to several vehi...
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| Formato: | tesis de maestría |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/358505 |
| Acesso em linha: | https://hdl.handle.net/2117/358505 |
| Access Level: | acceso abierto |
| Palavra-chave: | Automobiles--Electronic equipment Performance Module Modular Computing Platform Centralized In-Vehicle Networking Architecture Autonomous Driving Vision Application Automotive Automòbils--Equip electrònic Àrees temàtiques de la UPC::Enginyeria electrònica |
| Resumo: | Fully autonomous vehicles are expected to be the new era in the upcoming future resulting in a huge increase of data from sensors. To manage this, a modular centralized computing architecture is proposed, consisting of a powerful intelligent central computing platform able to connect to several vehicle interfaces. Then, different powerful high-performance modules are designed to easily plugin to the main system body, known as performance modules. In this project a PCBA is designed as a performance module integrating a Jetson Xavier NX SoM to form a pluggable cartridge into another company project known as MCP, including a power, mechanical and thermal design. A software demo is developed using Nvidia Deepstream SDK to build a video processing pipeline as a vision application. The final design results as a favourable proof-of-concept of a performance module for autonomous driving, with fulfilment of the project objectives. At the end, future work steps are defined. |
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