A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
Ai enabled accident detection and alert system using iot and deep learning for smart cities
As the number of vehicles increases, road accidents are on the rise every day. According to
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
Car crash detection using ensemble deep learning
With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …
[PDF][PDF] Sieci nski
RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …
present world. Research exploring the topic of safety on the roads has therefore become …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sad: Sensor-based anomaly detection system for smart junctions
P Mohandas - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The low cost and advancement of sensor technology have long proven to be invaluable in
their use in all areas of science. Several video-based methods have already been …
their use in all areas of science. Several video-based methods have already been …
A deep neural framework for real-time vehicular accident detection based on motion temporal templates
S Bakheet, A Al-Hamadi - Heliyon, 2022 - cell.com
Vehicular accident prediction and detection has recently garnered curiosity and large
amounts of attention in machine learning applications and related areas, due to its peculiar …
amounts of attention in machine learning applications and related areas, due to its peculiar …
A novel approach for vehicular accident detection and rescue alert system using IoT with convolutional neural network
Road accidents are become a big concern for the public. This study describes a system for
preventing accidents that involves alcohol detection with a MQ3 alcohol sensor, followed by …
preventing accidents that involves alcohol detection with a MQ3 alcohol sensor, followed by …
Application of deep learning in the early detection of emergency situations and security monitoring in public spaces
W Villegas-Ch, J Govea - Applied System Innovation, 2023 - mdpi.com
This article addresses the need for early emergency detection and safety monitoring in
public spaces using deep learning techniques. The problem of discerning relevant sound …
public spaces using deep learning techniques. The problem of discerning relevant sound …