LogosIntelligenceLab/VeteranAD

[NeurIPS 2025] Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

[NeurIPS 2026] ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

[CVPR 2025] Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning

[CVPR2026] SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving

[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving

[IJCV 2026] Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving