ML-Driven Vehicle Spacing and Collision Avoidance System with LiDAR for Highways
Original price was: ₹12,500.₹9,500Current price is: ₹9,500.
This project develops an intelligent vehicle spacing and collision avoidance system leveraging LiDAR sensors for enhanced safety on highways. By integrating IoT technology, the system monitors vehicle distances in real-time, providing data to a cloud platform for storage and advanced analytics.
Machine learning algorithms process LiDAR data to predict potential collisions, optimize vehicle spacing, and provide timely alerts for corrective actions. The system generates real-time notifications to drivers when unsafe distances are detected, helping reduce accident risks. A mobile app complements the system by offering live updates, historical analysis, and safety recommendations for highway travel.
Key Features:
- Real-time vehicle spacing monitoring using LiDAR and IoT integration.
- ML-powered collision prediction and safe distance maintenance.
- Cloud-based data storage for long-term analysis and reporting.
- Mobile app with live alerts, historical insights, and safety tips.
This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students exploring IoT and AI applications in transportation safety.
