Evaluation Is All You Need for Multi-Modal Autonomous Driving
cs.RO, cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning
- Pseudo-Simulation for Autonomous Driving
- TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
- iPad: Iterative Proposal-centric End-to-End Autonomous Driving
- Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
- Generalized Trajectory Scoring for End-to-end Multimodal Planning
- STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
- LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
- Momentum as Residual-Driven Multiplier Correction for Deep Learning Optimization
- ChainFlow-VLA: Causal Flow Planning with Vision-Language Models
- Unified Vision-Language-Action Model
- FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving
- Vault: One-Step Latent Generation with Positive-Anchored Rewards for Autonomous Driving
- Test-Time Trajectory Optimization for Autonomous Driving
- DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
- SpanVLA: Learning from Negative-Recovery Samples with Fast Action Bridging for Vision-Language-Action Model
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- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving