CAR-VLA: Complexity-Aware and Risk-Adaptive Reasoning for Autonomous Driving

arXiv:2609.34387 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-29

Code: https://github.com/chenxl124578/CAR-VLA

Terminology

• Adaptive Reasoning — 10× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 7× in this paper
• Reinforcement Learning — 7× in this paper · explained in 4 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Trace — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• VLA Models — 2× in this paper · explained in 3 episodes
• Vision-Language-Action (VLA) Models — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Selection — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
• Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
• EMMA: End-to-End Multimodal Model for Autonomous Driving
• NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
• Qwen3-VL Technical Report
• Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation
• DriveFine: Refining-Augmented Masked Diffusion VLA for Precise and Robust Driving
• SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
• LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
• Group Sequence Policy Optimization
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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