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TUM-AVS/EgoDyn-Bench-ECCV2026

EgoDyn-Bench A physics-grounded VQA benchmark for evaluating Vision-Language Models on trajectory-based dynamics reasoning in autonomous driving. Project page | Paper | GitHub This repository contains the data artifacts for the benchmark. The evaluation harness, baselines, and reference implementations live in the companion GitHub repository. Note on licensing. The nuScenes-derived portion of this dataset is released under CC BY-NC-SA 4.0 to comply with nuScenes' upstream… See the full description on the dataset page: https://huggingface.co/datasets/TUM-AVS/EgoDyn-Bench-ECCV2026.

Author / organizationTUM-AVS
License (as declared)cc-by-nc-sa-4.0
Downloads273 (as reported by Hugging Face)
Likes1
Created9 July 2026
Last updated at source9 July 2026
autonomous-drivingdynamics-reasoningvqavlm-benchmarktrajectorycarlanuscenes
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