Accident Anticipation
5 papers with code • 1 benchmarks • 2 datasets
CCD
CAP-DATA
Most implemented papers
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents
Visual cues for predicting a future accident are embedded deeply in dashcam video data.
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Cogito2012/DRIVE
•
•
ICCV 2021
Traffic accident anticipation aims to accurately and promptly predict the occurrence of a future accident from dashcam videos, which is vital for a safety-guaranteed self-driving system.
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
monjurulkarim/xai-accident
•
•
It confirms that the Grad-CAM chosen by this study can generate high-quality, human-interpretable saliency maps (with 1. 23 Normalized Scanpath Saliency) for explaining the crash anticipation decision.
