YOLOv5 for Road Events Based Video Summarization
N Saxena, MN Asghar - Science and Information Conference, 2023 - Springer
In recent years, metropolitan cities have seen a rapid rise in vehicular traffic, thereby
increasing the risk of accidents. Automatic detection of accidents will shorten the response …
increasing the risk of accidents. Automatic detection of accidents will shorten the response …
Collision Prediction of Smart Cities Using Co-simulation
A Karre, A Azim - Procedia Computer Science, 2023 - Elsevier
Road traffic has become prominent in everyday living, impacting or disrupting services to
people and daily routines. With the rise in automobile manufacturing and the frequency of …
people and daily routines. With the rise in automobile manufacturing and the frequency of …
Motor Vehicle Crash Detection Using Yolov8 Algorithm
JA Rosales, JG Samson… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent years, the number of motor vehicle accidents has been increasing, causing
significant morbidity and mortality worldwide. This study proposes a machine learning model …
significant morbidity and mortality worldwide. This study proposes a machine learning model …
[PDF][PDF] Vision Transformer-Based Multi-Phase Accident Detection and False Positive Mitigation
U Jartarghar, D Sanghvi, M Nidgundi, K Kumar, S Varur - 2024 - academia.edu
The use of computer vision algorithms for real-time accident detection is a highly researched
method to minimize delays in post-crash care. Various methods are adopted in the literature; …
method to minimize delays in post-crash care. Various methods are adopted in the literature; …