Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehicles

Documenti analoghi

• Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding
  di: Elhenawy, Mohammed, et al.
  Pubblicazione: (2025)
• Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition
  di: Alhadidi, Taqwa, et al.
  Pubblicazione: (2024)
• Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
  di: Elhenawy, Mohammed, et al.
  Pubblicazione: (2024)
• Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
  di: Ashqar, Huthaifa I., et al.
  Pubblicazione: (2024)
• Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems
  di: Elhenawy, Mohammed, et al.
  Pubblicazione: (2024)