Abstract:

The ‘Co-driver’ system integrates advanced AI technologies to simulate realistic driving behaviors in autonomous vehicles. Using a VLM (Visual Language Model), the system adapts to complex road scenarios, providing enhanced safety and reliability. The study highlights the system’s effectiveness in navigating through various road conditions, using a single Nvidia 4090 24G GPU.

Highlights:

• Utilization of a Visual Language Model for simulated autonomous driving.
• Adaptation to diverse road conditions including night and gloomy scenes.
• High success rates in real-world driving scenarios.
• Contribution of a comprehensive dataset for system training and improvement.

Importance:

‘Co-driver’ represents a leap forward in the automation of driving, combining AI’s perceptual and decision-making capabilities in a single, sophisticated system. As the automotive industry moves towards fully autonomous vehicles, such integrative AI systems will become crucial in addressing the dynamic challenges of real-world driving. This technology not only enhances vehicle autonomy but also sets new standards in automotive safety and efficiency.