A multimodal learning model with a new dataset of 6,217 cases reconstructs lane-consistent pre-impact motion and collision interactions from public accident reports, outperforming baselines in accuracy and consistency.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning physically grounded traffic accident reconstruction from public accident reports
A multimodal learning model with a new dataset of 6,217 cases reconstructs lane-consistent pre-impact motion and collision interactions from public accident reports, outperforming baselines in accuracy and consistency.