CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving
Multi-vehicle cooperative autonomous driving enhances the safety and reliability of autonomous driving systems through information sharing among connected vehicles, demonstrating significant potential for improving traffic safety. LLM-based approaches leverage strong reasoning capabilities of LLMs to enable effective inter-vehicle negotiation and improve cooperative driving performance. However, driving decisions in complex traffic scenarios are inherently multi-solution in nature. As a result, existing negotiation-based methods often converge prematurely to suboptimal solutions, hindering consensus formation and limiting the practical deployment of cooperative autonomous driving systems....
| Authors | Zhe Huang, Zhaoxin Fan, Shuo Wang et al. |
|---|---|
| Primary category | cs.RO |
| Published | 4 September 2026 |
| Last updated at source | 4 September 2026 |
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