SOURCE-LINKED INTELLIGENCE
DriveMCP: An Agentic AI framework for Advanced Driver Assistance System
An agentic AI driver-assistance framework that integrates perception, compliance reasoning, vehicle-state interpretation, and safety arbitration into a modular and auditable pipeline. The architecture, referred to as DriveMCP, incorporates a sensor-like perception stack alongside DriveLM as the vision-language front end to generate a graph-structured scene understanding (Graph Visual Question Answering) and language-grounded driving information. Key compliance elements in world_state, including posted speed limits and jurisdiction cues, are derived from DriveLM outputs through a structured par
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T14:29:18.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.