AIMC Topic: Automobile Driving

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Real-time driving risk assessment using deep learning with XGBoost.

Accident; analysis and prevention Sep 30, 2022
Traffic crashes typically occur in a few seconds and real-time prediction can significantly benefit traffic safety management and the development of safety countermeasures. This paper presents a novel deep learning model for crash identification base...
Humans Neural Networks, Computer Risk Assessment Deep Learning Accidents, Traffic Automobile Driving
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Research on imaging method of driver's attention area based on deep neural network.

Scientific reports Sep 30, 2022
In the driving process, the driver's visual attention area is of great significance to the research of intelligent driving decision-making behavior and the dynamic research of driving behavior. Traditional driver intention recognition has problems su...
Humans Neural Networks, Computer Automobile Driving
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ConcentrateNet: Multi-Scale Object Detection Model for Advanced Driving Assistance System Using Real-Time Distant Region Locating Technique.

Sensors (Basel, Switzerland) Sep 28, 2022
This paper proposes a deep learning based object detection method to locate a distant region in an image in real-time. It concentrates on distant objects from a vehicular front camcorder perspective, trying to solve one of the common problems in Adva...
Humans Neural Networks, Computer Chronic Disease Data Collection Automobile Driving
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The driver's instantaneous situation awareness when the alarm rings during the take-over of vehicle control in automated driving.

Traffic injury prevention Sep 28, 2022
OBJECTIVE: The driver's instantaneous situation awareness in the process of take-over of vehicle control in automated driving has not yet been thoroughly investigated. The proposed research can provide a better understanding of the driver's perceived...
Humans Reaction Time Accidents, Traffic Automobile Driving Awareness
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Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis.

Sensors (Basel, Switzerland) Sep 19, 2022
Vehicle fault detection and diagnosis (VFDD) along with predictive maintenance (PdM) are indispensable for early diagnosis in order to prevent severe accidents due to mechanical malfunction in urban environments. This paper proposes an early voicepri...
Neural Networks, Computer Algorithms Deep Learning Automobile Driving Wavelet Analysis
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Real-Time and Efficient Multi-Scale Traffic Sign Detection Method for Driverless Cars.

Sensors (Basel, Switzerland) Sep 13, 2022
Traffic signs detection and recognition is an essential and challenging task for driverless cars. However, the detection of traffic signs in most scenarios belongs to small target detection, and most existing object detection methods show poor perfor...
Neural Networks, Computer Automobiles Automobile Driving Recognition, Psychology
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Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health.

Journal of environmental and public health Aug 31, 2022
With the rise of self-driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self-driving vehicles has been gradually paid attention to. The determination of tort liability subject of tra...
Artificial Intelligence Technology Mental Health Accidents, Traffic Automobile Driving
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Coordinated Control of Intelligent Fuzzy Traffic Signal Based on Edge Computing Distribution.

Sensors (Basel, Switzerland) Aug 9, 2022
With the development of Internet of Things infrastructures and intelligent traffic systems, the traffic congestion that results from the continuous complexity of urban road networks and traffic saturation has a new solution. In this research, we prop...
Algorithms Computer Simulation Fuzzy Logic Automobile Driving
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Risky-Driving-Image Recognition Based on Visual Attention Mechanism and Deep Learning.

Sensors (Basel, Switzerland) Aug 5, 2022
Risky driving behavior seriously affects the driver's ability to react, execute and judge, which is one of the major causes of traffic accidents. The timely and accurate identification of the driving status of drivers is particularly important, since...
Deep Learning Accidents, Traffic Data Collection Automobile Driving Recognition, Psychology
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An Effective Approach of Vehicle Detection Using Deep Learning.

Computational intelligence and neuroscience Jul 30, 2022
With the rise of unmanned driving and intelligent transportation research, great progress has been made in vehicle detection technology. The purpose of this paper is employing the method of deep learning to study the vehicle detection algorithm, in w...
Algorithms Technology Deep Learning Automobile Driving Semantics
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