monjurulkarim/DSTA
This is the implementation code for the paper, "A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents"
This project helps traffic safety analysts and autonomous vehicle developers predict traffic accidents earlier than ever before. It takes dashcam video footage as input and outputs an early warning signal of a potential accident, allowing for proactive intervention. Its primary users are researchers and engineers focused on enhancing road safety and autonomous driving systems.
No commits in the last 6 months.
Use this if you need to analyze dashcam video data to detect and anticipate traffic accidents before they fully unfold.
Not ideal if you are looking for a plug-and-play application for real-time deployment without expertise in machine learning model training and evaluation.
Stars
37
Forks
8
Language
Python
License
MIT
Category
Last pushed
Apr 13, 2023
Commits (30d)
0
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