LLMs: The New Frontier in Autonomous Driving
Leveraging language models for smarter, safer vehicles
This research explores how Large Language Models can revolutionize autonomous driving systems through enhanced reasoning and understanding capabilities.
- Introduces a comprehensive LLM4AD concept for integrating language models across driving tasks
- Provides a benchmark framework to evaluate LLM performance in driving scenarios
- Identifies key challenges and opportunities in security, privacy, and real-time processing
- Demonstrates practical applications in perception, decision-making, and human-vehicle interaction
This work matters because it creates a structured approach for engineering AI-powered driving systems that can better understand complex road environments, reason about driving scenarios, and communicate naturally with passengers.