Table of Contents
Google Summer of Code 2025: Automotive Grade Linux projects
Automotive Grade Linux Introduction
What is Automotive Grade Linux?
Automotive Grade Linux is a collaborative open source project that is bringing together automakers, suppliers and technology companies to accelerate the development and adoption of a fully open software stack for the connected car. With Linux at its core, AGL is developing an open platform from the ground up that can serve as the de facto industry standard to enable rapid development of new features and technologies.
AGL Community
Website - www.automotivelinux.org
Wiki – http://wiki.automotivelinux.org
Documentation (including getting started guide): https://docs.automotivelinux.org/en/master/#
Git - gerrit.automotivelinux.org
Mailing Lists - http://lists.automotivelinux.org/
Discord Server - https://discord.gg/ZztCaVeQVG - Prospective students should use #google-summer-of-code to introduce themselves.
Code Licenses: mostly Apache 2.0, MIT for own code, otherwise as upstream
Primary Mentor contact: jsmoeller (at) linuxfoundation (dot) org
GSoC 2025 intro presentation: https://docs.google.com/presentation/d/1eo4Veo5b7HkNgRnL1MWfZcXNj89Hh5RdeBDSBf6bEaQ
Project Proposals
Task #1 (large/350h): Extend AGL's demo control panel
The AGL demo control panel is a pyQt (qml) application that is able to control the AGL demo homescreen. It can replay can messages.
Task: Extend the demo control panel to drive more signals and exercise more advanced features in AGL.
Level of difficulty: intermediate
Requirements: QT, pyQT, QML, grpc, kuksa.val
Contact: jsmoeller (at) linuxfoundation.org
Task #2 (large/350h): Extend AGL's speech recognition app (Flutter app) with AI features
The AGL speech recognition app is a Flutter app that uses a speech recognition engine (vosk/whisper + intent engine) for the audio processing.
Task: Extend the demo using AI models to allow more complex interactions and reactions. Requirement is to use open-source technologies.
Level of difficulty: intermediate
Requirements: python, flutter+dart
Contact: jsmoeller (at) linuxfoundation.org
Task #3 (large/350h): meta-ros
Task: Work on meta-ros integration. (Robotic framework). Goal is a demo image integrating ROS + AGL .
Level of difficulty: intermediate/difficult
Requirements: python, …
Contact: jsmoeller (at) linuxfoundation.org
Task #4 YOUR OWN IDEA
Bring your own idea to extend the project.
Level of difficulty: tbd
Requirements: tbd
Contact: jsmoeller (at) linuxfoundation.org
