Authors: Xingcheng Zhou, Alois C. Knoll

Published on: February 03, 2024

Impact Score: 8.3

Arxiv code: Arxiv:2402.02205

Summary

• What is new: Utilization of the GPT-4V model for understanding traffic incidents, emphasizing its cognitive, reasoning, and decision-making abilities.
• Why this is important: Difficulty in identifying and understanding complex traffic incidents due to varied environmental factors and accident causes.
• What the research proposes: Employment of the GPT-4V model to analyze and comprehend traffic accident videos.
• Results: GPT-4V shows significant ability in managing classic traffic events, albeit with identified limitations in more complex scenarios.

Technical Details

Technological frameworks used: GPT-4V

Models used: Vision-language models

Data used: Traffic incident videos

Potential Impact

Automotive industries, insurance companies, and smart city technology providers could all be affected or benefit from these findings.

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