Traffic Accident Detection
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Benchmarks
Most implemented
Unsupervised Traffic Accident Detection in First-Person Videos
ROCO: A Roundabout Traffic Conflict Dataset
Papers
AITP: Traffic Accident Responsibility Allocation via Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have achieved remarkable progress in Traffic Accident Detection (TAD) and Traffic Accident Understanding (TAU). However, existing studies mainly focus on describing and interpreti…
Traffic Accident DetectionACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videos
We introduce ACCIDENT, a benchmark dataset for traffic accident detection in CCTV footage, designed to evaluate models in supervised (IID and OOD) and zero-shot settings, reflecting both data-rich and data-scarce scenari…
Traffic Accident DetectionSurveillance Video-Based Traffic Accident Detection Using Transformer Architecture
Road traffic accidents represent a leading cause of mortality globally, with incidence rates rising due to increasing population, urbanization, and motorization. Rising accident rates raise concerns about traffic surveil…
Traffic Accident DetectionDomain GeneralizationInvestigating Traffic Accident Detection Using Multimodal Large Language Models
Traffic safety remains a critical global concern, with timely and accurate accident detection essential for hazard reduction and rapid emergency response. Infrastructure-based vision sensors offer scalable and efficient …
Traffic Accident DetectionMulti-Object TrackingInstance SegmentationObject DetectionBig Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
In the dynamic urban landscape, where the interplay of vehicles and pedestrians defines the rhythm of life, integrating advanced technology for safety and efficiency is increasingly crucial. This study delves into the ap…
Action RecognitionPose EstimationRhythmTraffic Accident DetectionSmart 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. This paper offers a comprehensive explorati…
Deep LearningManagementOptical Flow EstimationTraffic Accident Detection