YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving
cs.CV, cs.AI, cs.RO
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- Qwen2.5-VL Technical Report
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models
- StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving
- StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
- EMMA: End-to-End Multimodal Model for Autonomous Driving
- Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback
- AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
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