end-to-end planning

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention CVPR 2026 CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving AAAI 2026 Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving AAAI 2026 DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning AAAI 2026 Spatial Retrieval Augmented Autonomous Driving CVPR 2026 Distilling Multi-modal Large Language Models for Autonomous Driving CVPR 2025 DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers ICCV 2025 Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025 End-to-End Autonomous Driving Through V2X Cooperation AAAI 2025 S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation CVPR 2025 World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model ICCV 2025 Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving CVPR 2024 VLP: Vision Language Planning for Autonomous Driving CVPR 2024 iPlanner: Imperative Path Planning RSS 2023 VAD: Vectorized Scene Representation for Efficient Autonomous Driving ICCV 2023