Introduces VZCrash, the largest public IMU dataset for ego-vehicle crashes, and shows through benchmarks that larger data scale improves crash detection models especially for real-world deployment.
Cognitive accident pre- diction in driving scenes: A multimodality benchmark
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
PaSBench-Video benchmark shows no tested MLLM exceeds 20% on strict proactive safety metrics, with recall correlated 0.64 to false-positive rate on safe clips.
VAGNet anticipates accidents in dashcam videos using global features from VideoMAE-V2 combined with transformers and graphs, reporting higher average precision and mean time-to-accident on four benchmarks while running more efficiently than prior methods.
citing papers explorer
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PaSBench-Video: A Streaming Video Benchmark for Proactive Safety Warning
PaSBench-Video benchmark shows no tested MLLM exceeds 20% on strict proactive safety metrics, with recall correlated 0.64 to false-positive rate on safe clips.