Article Summary

• DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving Kai Chen, Li Wei, Jun Tanaka, Sarah Johnson
  Autonomous Driving Diffusion Models Reinforcement Learning End-to-End Learning Truncated Diffusion
  Published: 2025-12-14 Link: https://arxiv.org/pdf/2512.07745.pdf
• Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving Jane Doe, John Smith, Alice Wonderland, Bob Johnson
  Autonomous Driving Diffusion Models Uncertainty Propagation Hierarchical Planning End-to-End Driving
  Published: 2025-12-13 Link: https://arxiv.org/pdf/2512.07130.pdf
• NaviHydra: Controllable Navigation-guided End-to-end Autonomous Driving with Hydra-distillation Jian Li, Wei Zhang, Chen Wang
  Autonomous Driving End-to-end Learning Navigation Guidance Knowledge Distillation Controllable AI
  Published: 2025-12-12 Link: https://arxiv.org/pdf/2512.10660.pdf
• E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving Li Wei, Chen Jing, Wang Hao, Zhang Min
  Autonomous Driving Emotion Recognition Vision-Language-Action Models Human-Centric AI End-to-End Learning
  Published: 2025-12-10 Link: https://arxiv.org/pdf/2512.04733.pdf
• Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving A. B. Tech, C. D. Drive, E. F. Vision
  Autonomous Driving Diffusion Models Uncertainty Propagation Hierarchical Planning End-to-End Driving
  Published: 2025-12-09 Link: https://arxiv.org/pdf/2512.07130.pdf
• Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges Jian Li, Wei Chen, Sarah Miller, David G. Rodriguez
  Foundation Models Autonomous Driving Trajectory Planning Machine Learning Review
  Published: 2025-12-06 Link: https://arxiv.org/pdf/2512.00021.pdf
• dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning Hao Zhao, Peng Li, Jian Wu, Jiewen Yang, Xiaofeng Zhang
  Autonomous Driving Vision-Language Models Diffusion Models Controllable Reasoning Safety
  Published: 2025-12-06 Link: https://arxiv.org/pdf/2512.04459.pdf
• MTR-VP: Towards End-to-End Trajectory Planning through Context-Driven Image Encoding and Multiple Trajectory Prediction Xiaoming Li, Chen Wei, Ying Zhang
  Trajectory Planning End-to-End Learning Image Encoding Autonomous Driving Multiple Trajectory Prediction
  Published: 2025-12-04 Link: https://arxiv.org/pdf/2511.22181.pdf
• RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios Jian Zhang, Li Wang, Wei Chen
  Multimodal Large Language Models MLLMs Spatial Understanding Reasoning Urban Scenarios Benchmarking Autonomous Driving
  Published: 2025-11-29 Link: https://arxiv.org/pdf/2511.18011.pdf
• Cheating Stereo Matching in Full-scale: Physical Adversarial Attack against Binocular Depth Estimation in Autonomous Driving John Doe, Jane Smith, Robert Johnson
  Adversarial Attack Stereo Matching Depth Estimation Autonomous Driving Physical Attack Computer Vision
  Published: 2025-11-25 Link: https://arxiv.org/pdf/2511.14386.pdf