From Wrecks to Wisdom: Recovering Crash Mechanics from Real-World Multi-View Photos
The study used a unified multi-view architecture based on SwinV2 and case-level fusion to predict crash mechanics from post-crash photos. It compared single-task versus joint training, finding that joint training significantly improved predictions for key crash descriptors like the direction of force and velocity changes, establishing imagery as a useful source for crash analysis.