Project VITAS

Vision-based Intelligent Traffic Accident prevention System

This repository serves as the main hub for the VITAS initiative.
It provides a consolidated view of research activities, competition entries, and outcomes.
While the spoke repositories contain the core code implementations, this hub collects documents, reports, and certificates that are not included elsewhere.

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📌 Overview

VITAS was initiated as a team project and later expanded into various research and competition activities.
The focus was on vision-based AI techniques for intelligent traffic safety, including real-time perception and decision-making.

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📂 Repository Structure

• docs/ – Collected documents and results
  • docs/contests/ : Competition-related materials
    • docs/contests/aiot/ : AIoT Service Contest materials
    • docs/contests/capstone/ : Capstone Design reports & presentations
    • docs/contests/hanium/ : Hanium ICT Contest reports & certificates
  • docs/awards/ : Certificates and awards
  • docs/research_logs/ : Research participation logs and reports
  • docs/journal/ : Academic paper drafts & published versions
• links.md – Links to spoke repositories
• README.md – This overview
• tools/ – Auxiliary scripts for repository organization (optional)

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🔗 Spoke Repositories

• Speed Estimation YOLOv8
  YOLOv8-based algorithm for real-time object detection and vehicle speed estimation.
• 24SummerResearch
  Undergraduate research participation, experiments, and academic paper preparation.
• 2024 Hanium ICT Contest
  Contest submission code and implementation details.

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📝 Notes

• This hub does not duplicate source code.
• It centralizes documents, reports, posters, and certificates related to the VITAS initiative.
• For technical methods, implementations, and constraints, refer to the spoke repositories.