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Currently at Team02-Course repo, this is the face of our project and our central wiki hub.

Welcome to SEA:ME Project Wiki.

This repository powers our full-stack autonomous vehicle platform—integrating embedded systems, sensors, instrumentation, and perception modules into a cohesive solution for autonomous driving research.

Components

Resumed Overview of all the project modules.

Features Demonstrations:

• Adaptive Cruise Control (ACC)
• Lane Keeping Assist System (LKAS)
• Crosswalk Speed Reduction
• Stop Sign Detection
• Traffic Light Handling
• Obstacle Avoidance
• Emergency Braking
• Trajectory Feasibility Check
• Safety Conditions

Submodule Documentation Pages

Submodule	Description
JetsonNano	Main vehicle control software, sensor integration, and autonomous capabilities.
RaspberryPi	Instrument cluster and user interface.
MicroController	Arduino-based control for sensors and actuators.
MachineLearning	Lane detection, object detection and traffic signs/lights classification.
Dataset	Tools for dataset creation, preprocessing, and management.
ADAS_SIL	Software-in-the-Loop testing with CARLA simulator.
Libs	Shared libraries and utility functions.

Module	Description
Digital Trip Book	A cross-platform vehicle trip logging app built with Qt 6 (QML + C++)

Repo Structure

Team02-Course/
├── JetsonNano/         # Main vehicle control software
├── RaspberryPi/        # Instrument cluster and UI
├── MicroController/    # Arduino code for sensors/actuators
├── MachineLearning/    # ML models for perception
├── Dataset/            # Dataset management and generation
├── ADAS_SIL/           # A Software-in-the-Loop (SIL) testing environment
└── Libs/               # Dataset management and generation