Driving behaviour analysis using machine and deep learning methods for continuous streams of vehicular data
In the last few decades, vehicles are equipped with a plethora of sensors which can provide
useful measurements and diagnostics for both the vehicle's condition as well as the driver's …
useful measurements and diagnostics for both the vehicle's condition as well as the driver's …
[PDF][PDF] Driving pattern profiling and classification using deep learning
The last several decades have witnessed an exponential growth in the means of transport
globally, shrinking geographical distances and connecting the world. The automotive …
globally, shrinking geographical distances and connecting the world. The automotive …
Ai-based driving data analysis for behavior recognition in vehicle cabin
F Lindow, C Kaiser, A Kashevnik… - 2020 27th Conference …, 2020 - ieeexplore.ieee.org
Driving a vehicle is an indispensable part of their everyday life for many people. However,
sometimes this everyday life does not go as expected, as a lot of accidents happen on the …
sometimes this everyday life does not go as expected, as a lot of accidents happen on the …
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
Analysis of road-user interaction by extraction of driver behavior features using deep learning
In this study, an improved deep learning model is proposed to explore the complex
interactions between the road environment and driver's behaviour throughout the generation …
interactions between the road environment and driver's behaviour throughout the generation …
Driver behavior profiling and recognition using deep-learning methods: In accordance with traffic regulations and experts guidelines
The process of collecting driving data and using a computational model to generate a safety
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …
Performance evaluation of driving behavior identification models through can-bus data
MN Azadani, A Boukerche - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Modern cars can collect several hundreds of sensor data through the controller area network
(CAN) bus technology that provides almost real-time information about the car, the …
(CAN) bus technology that provides almost real-time information about the car, the …
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 …
Machine Learning Insights on Driving Behaviour Dynamics among Germany, Belgium, and UK Drivers
The i-DREAMS project has a core objective: to establish a comprehensive framework that
defines, develops, and validates a context-aware 'Safety Tolerance Zone'(STZ). This zone is …
defines, develops, and validates a context-aware 'Safety Tolerance Zone'(STZ). This zone is …
Comparative analysis of machine learning-based approaches for anomaly detection in vehicular data
The rapid growth of demand for transportation, both for people and goods, as well as the
massive accumulation of population in urban centers has augmented the need for the …
massive accumulation of population in urban centers has augmented the need for the …