monjurulkarim/DSTA

This is the implementation code for the paper, "A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents"

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Emerging

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.

traffic-safety accident-prevention autonomous-driving video-analytics transportation-intelligence
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

37

Forks

8

Language

Python

License

MIT

Last pushed

Apr 13, 2023

Commits (30d)

0

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