driving QA benchmark

The 'driving QA benchmark' is a dataset used to evaluate the performance of models in generating context-aware and energy-efficient driving decisions based on multimodal inputs related to driving scenarios.

Papers using driving QA benchmark (3)

EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control2026Finequest: Adaptive Knowledge-assisted Sports Video Understanding Via Agent-of-thoughts Reasoning2025Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios2025