Traffic Accident Detection
4 papers with code • 3 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Traffic Accident Detection
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A3D
CAP-DATA
Latest papers with no code
Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
This research aims to bridge existing research gaps by introducing benchmark datasets that leverage state-of-the-art algorithms tailored for traffic accident detection in smart cities.
Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection
The dynamic and unpredictable nature of road traffic necessitates effective accident detection methods for enhancing safety and streamlining traffic management in smart cities.
Vision-Based Traffic Accident Detection and Anticipation: A Survey
We present the first survey on Vision-TAD in the deep learning era and the first-ever survey for Vision-TAA.
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Different from previous approaches, our method can more accurately detect both ego-involved and non-ego accidents by simultaneously modeling appearance changes and object motions in video frames through the collaboration of optical flow reconstruction and future object localization tasks.
