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Components
Luis Filipe Carvalho edited this page Aug 20, 2025
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Contains all the code running on the Jetson Nano, which serves as the main computing platform for the vehicle. Includes:
- Vehicle control systems
- Sensor integration
- Communication frameworks
- Autonomous driving capabilities
- Hardware abstraction layers
Contains code for the Raspberry Pi, which manages the instrument cluster and user interfaces:
- Dashboard displays
Arduino-based software for hardware-level interactions:
- Speed sensor data collection
- Lighting control systems
- Real-time sensor processing
Machine learning models and algorithms for autonomous perception:
- Lane detection models
- Object detection and classification
Tools and resources for dataset management:
- Local track dataset collection tools
- Carla simulator dataset utilities
- Dataset preprocessing pipelines
- Future: Code for generating synthetic datasets using Carla
- to do
- to do
Project Developed by Team02 @ SEA:ME Portugal - 2024 Cohort
A master-level curriculum empowering developers with practical, peer-driven expertise in embedded systems, autonomous driving, and mobility ecosystems.