DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Documenti analoghi

• DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
  di: Zheng, Weicheng, et al.
  Pubblicazione: (2025)
• DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
  di: Huang, Zilin, et al.
  Pubblicazione: (2026)
• Unifying Language-Action Understanding and Generation for Autonomous Driving
  di: Wang, Xinyang, et al.
  Pubblicazione: (2026)
• Generalizing Motion Planners with Mixture of Experts for Autonomous Driving
  di: Sun, Qiao, et al.
  Pubblicazione: (2024)
• Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
  di: Li, Pengxiang, et al.
  Pubblicazione: (2025)