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Vehicle SafeStop AI

Intelligent Fail-Safe for the Future of Driving

Vehicle SafeStop AI is a comprehensive, AI-driven emergency system designed to serve as a vehicle's ultimate safety net. It intelligently manages critical system failures to protect passengers, prevent secondary accidents, and provide OEMs with the technology needed to meet and exceed future safety standards.

Vehicle SafeStop AI Hero

🚀 Project Overview

The automotive industry is shifting from fail-safe to fail-operational systems. When a critical component (steering, braking, ECU) fails, current systems often default to abrupt stops, creating dangerous situations. SafeStop AI solves this by:

  1. Detecting Faults: Real-time health monitoring and redundancy checks.
  2. Planning a Path: AI-powered algorithms to find a safe stopping zone (e.g., road shoulder).
  3. Executing Control: Smooth, controlled deceleration and steering.
  4. Communicating (V2X): Broadcasting alerts to nearby vehicles and infrastructure.

🛠️ Technology Stack

This project showcases the web presence for the SafeStop AI system.

  • Frontend: HTML5, CSS3 (Custom Properties, Flexbox/Grid), JavaScript (ES6+)
  • Design: Futuristic Automotive Aesthetic (Dark Mode, Neon Accents, Glassmorphism)
  • Fonts: Audiowide, Exo 2, Inter, Montserrat (via Google Fonts)

Core System Technologies (Backend/Embedded)

  • Hardware: Raspberry Pi 4, LiDAR, Ultrasonic Sensors, IMU, Camera Module
  • Software: ROS Noetic, Python, C++
  • Algorithms: A* Path Planning, PID Control
  • Communication: MQTT, DSRC/C-V2X

📂 Project Structure

SafeStopAI/
├── index.html          # Main landing page
├── style.css           # Global styles and responsive design
├── script.js           # Interactivity (Mobile menu, Smooth scroll)
├── images/             # Assets for the website
│   ├── team/           # Team member photos
│   └── ...             # Project diagrams and hero images
└── README.md           # Project documentation

👥 Team Strivia

We are a team of engineers and developers dedicated to advancing automotive safety.

  • Norboeva Sevinch - Team Leader
  • Karimov Bekhruzbek
  • Khudoyberdiev Madaminbek
  • Eshmirzaev Sarvar
  • Ochilova Sevara
  • Ozodov Sherzod
  • Toktogulov Taazim
  • Sayfullaev Asilbek
  • Najimov Otabek

📬 Contact

INHA UNIVERSITY 100 Inha-ro, Michuhol-gu, Incheon (22212)

© 2025 Team Strivia. All rights reserved.