Aug 2026· International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-]· pp. 1740-1747· 0 citations· 18 references
Road accidents are a major cause of injuries, fatalities, and traffic disruptions worldwide. Timely detection of vehicle accidents is critical for providing quick emergency response and reducing the impact of such incidents. This project presents an AI-powered real-time Vehicle Accident Detection system developed using...
Anisha R, K. S. Thirunavukkarasu· International Journal of Sci...· 0 citations
Road traffic accidents require rapid detection and timely warning dissemination to reduce secondary collisions and improve emergency response. This paper presents an efficient roadside-unit-based computer vision framework for real-time accident recognition integrated with Vehicle-to-Everything communication. The propos...
Danish Ather, M. Talipov· Mathematical Models in Engin...· 0 citations
In recent years, traffic accidents on highways have occurred frequently. An accident threatens lives and property. It also disrupts traffic. Current accident scene recognition faces challenges. Accuracy is often suboptimal. Deploying detection models in real-world scenarios is difficult due to high computational comple...
Dengcong Mu, Zitang Wei, Zheng Li et al.· Engineering Research Express· 0 citations
This paper presents a real-time automobile accident detection and emergency-alert framework for CCTV-based road surveillance. The system uses YOLOv8 to detect vehicles and produce bounding boxes, class labels, and confidence scores. ByteTrack maintains vehicle identities across frames, allowing the computation of cente...
Eshwaroju Ajay and Dr. Bitla Prabhakar· International Journal of Adv...· 0 citations
Road traffic accidents caused by driver fatigue continue to be a major public safety concern, highlighting the need for intelligent and real-time monitoring systems. This paper presents a Smart Driver Drowsiness Detection and Advanced Emergency Communication System that combines computer vision, deep learning, and auto...
Dhanalakshmi, Venkata Yamuna Chirumalla· International Journal of Eng...· 0 citations
A novel vision-based system for lane detection and roadside traffic sign recognition using advanced artificial neural network architectures that delivers fast, accurate, and robust simultaneous lane and traffic sign detection, significantly improving real-time road safety and driver assistance.
Viraj Sonawane, B. Agarkar, Sachin Chaudhari· International Journal of Adv...· 0 citations
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