A Review on Lane Line Detection and Forward Collision Warning using Artificial Intelligence

The article introduces the Autonomous Self-Driving Assistance System (ASDAS), a groundbreaking technology poised to transform vehicle safety by seamlessly integrating Lane Line Detection and Forward Collision Warning. Within the Lane Line Detection module, advanced computer vision algorithms combine image processing techniques and machine learning models to swiftly and accurately identify lane boundaries in real-time, enabling autonomous vehicles to navigate within predefined lanes for secure and predictable trajectories, crucial for intricate traffic scenarios. Simultaneously, the Forward Collision Warning module utilizes sensor data such as radar and lidar inputs to monitor the vehicle's surroundings, assessing collision risks with sophisticated algorithms that predict and analyze relative speeds and distances of nearby objects. In response to potential collision threats, the system issues timely warnings to the vehicle's onboard control system, prompting immediate corrective actions. This innovative integration of technologies represents a significant step forward in enhancing vehicle safety and efficiency in the evolving landscape of autonomous transportation.