Towards Reliable Vision-Language Models for Autonomous Driving
cs.AI, cs.CV
Submitted: 2026-10-01
Updated: 2026-10-01
Terminology
Sources
- End to End Learning for Self-Driving Cars
- Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
- GPT-Driver: Learning to Drive with GPT
- A Language Agent for Autonomous Driving
- EMMA: End-to-End Multimodal Model for Autonomous Driving
- LLaVA-OneVision: Easy Visual Task Transfer
- Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
- STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes
- NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
- Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI
- ObsDriveBench: Benchmarking Multimodal Understanding under Adverse Weather with Observability Awareness
- Reducing Hallucinations in Vision-Language Models via Latent Space Steering
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
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