An intelligent convolutional neural network based potholes detection using yolo-v7
M Sathvik, G Saranya… - … and Renewable Systems …, 2022 - ieeexplore.ieee.org
Road travel is one of the most common modes of transportation in the world, where more
than 60% of the population commutes by personal or shared automobiles. According to a …
than 60% of the population commutes by personal or shared automobiles. According to a …
Pothole detection using CNN and YOLO v7 algorithm
ESTK Reddy, V Rajaram - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Various factors, which include excessive speed, driver distraction, failure to wear safety
equipment, and road hazards such as potholes, account for the majority of fatal and injury …
equipment, and road hazards such as potholes, account for the majority of fatal and injury …
Artificial intelligence in road traffic accident prediction
J Siswanto, ASN Syaban, H Hariani - Jambura Journal of …, 2023 - ejurnal.ung.ac.id
The rapid development of AI shows its power and great development potential in practical
engineering applications. Critical issues and potential solutions can reduce road traffic …
engineering applications. Critical issues and potential solutions can reduce road traffic …
Number of Road Accidents Predicting Using Deep Learning-Based LSTM Development Models
Road accidents cause chaos and state financial losses every year. Road accidents cannot
be stopped but can be controlled with predictions. The existing road accident prediction …
be stopped but can be controlled with predictions. The existing road accident prediction …
Design and Implementation of IoT Based Accident Detection and Prevention System
S Karthikeyan, J Kiruthik, S Madumitha… - … on Trends in …, 2023 - ieeexplore.ieee.org
In the modern world, an increase in the usage of automobiles for commercial purposes has
also increased the number of accidents occurring in commercial vehicles, which leads to the …
also increased the number of accidents occurring in commercial vehicles, which leads to the …
Early prediction of road accidents using RMSE by comparing random forest algorithm with naive bayes algorithm
T Prakash, V Nagaraju - AIP Conference Proceedings, 2024 - pubs.aip.org
The fundamental objective of this research is to investigate several approaches that may be
used to enhance the precision of recent machine learning algorithms that are used to …
used to enhance the precision of recent machine learning algorithms that are used to …
Road Accident Prediction in Highways using Machine Learning Algorithms
JS Reddy, MR Rashmi, LH Pin - 2024 5th International …, 2024 - ieeexplore.ieee.org
Road accidents are increasing day by day. In India, every year nearly 33% of road accidents
take place in national highways and 23% in state highways. This paper focuses on …
take place in national highways and 23% in state highways. This paper focuses on …
Road accident analysis and prediction
Traffic collisions occur at an alarming rate in many parts of the world. More than 151,000
people were killed on India's roads in 2019, for example. Finding out what factors contribute …
people were killed on India's roads in 2019, for example. Finding out what factors contribute …
A Real-Time Road Surface Identification and Tracking Based on Raspberry PI Assisted IoT Enabled Image Processing Scheme
K Malathy - 2024 Ninth International Conference on Science …, 2024 - ieeexplore.ieee.org
These days, an increasing number of individuals are harmed in automobile accidents that
are brought on by roads that are not properly maintained. The situation is especially …
are brought on by roads that are not properly maintained. The situation is especially …
Safe Routes Recommendation for Drivers by Real-Time Prediction of Accident Risk Scores
Road accidents are caused by several factors. Taking this and the shortcomings of prior
research studies on accident prediction in India into account, we propose an accident …
research studies on accident prediction in India into account, we propose an accident …