DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving

Documenti analoghi

• Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
  di: Jia, Xiaosong, et al.
  Pubblicazione: (2026)
• Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
  di: Jia, Xiaosong, et al.
  Pubblicazione: (2024)
• Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
  di: Yang, Zhenjie, et al.
  Pubblicazione: (2025)
• DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
  di: Jia, Xiaosong, et al.
  Pubblicazione: (2025)
• Can Users Specify Driving Speed? Bench2Drive-Speed: Benchmark and Baselines for Desired-Speed Conditioned Autonomous Driving
  di: Shao, Yuqian, et al.
  Pubblicazione: (2026)