On the Road with GPT-4V
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An exhaustive evaluation of GPT-4V applied to autonomous driving scenarios.
Driving-scenario evaluation: Tests GPT-4V across diverse driving situations including scene understanding, traffic-sign recognition, and causal reasoning about driver intent.
Scene-understanding strength: Demonstrates superior performance in scene understanding and causal reasoning compared to existing production autonomous-driving systems.
Edge-case robustness: Shows relative robustness on edge cases (construction zones, unusual road layouts) that typically confuse narrower perception stacks.
Practical limitations: Flags real-world issues including latency, rare-hazard handling, and dependence on high-quality image quality that would gate production deployment.
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