AIMC Topic: Automobile Driving

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Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.

Sensors (Basel, Switzerland) Jun 29, 2022
In the autonomous driving process, the decision-making system is mainly used to provide macro-control instructions based on the information captured by the sensing system. Learning-based algorithms have apparent advantages in information processing a...
Neural Networks, Computer Algorithms Automobile Driving Reinforcement, Psychology Reward
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Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System.

Computational intelligence and neuroscience Jun 29, 2022
The vehicle-road collaborative information interaction system is an emerging technology system that realizes the sharing of information between vehicles, vehicles and roads between traffic road information, and driving vehicle information. It is of p...
Computer Simulation Transportation Algorithms Automobile Driving Deep Learning
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DPSSD: Dual-Path Single-Shot Detector.

Sensors (Basel, Switzerland) Jun 18, 2022
Object detection is one of the most important and challenging branches of computer vision. It has been widely used in people's lives, such as for surveillance security and autonomous driving. We propose a novel dual-path multi-scale object detection ...
Disease Progression Automobile Driving Learning Humans Algorithms Neural Networks, Computer
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Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment.

Computational intelligence and neuroscience Jun 18, 2022
In this paper, we propose an assisted driving system implemented with a Jetson nano-high-performance embedded platform by using machine vision and deep learning technologies. The vehicle dynamics model is established under multiconditional assumption...
Technology Accidents, Traffic Computers Automobile Driving Artificial Intelligence
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Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition.

Sensors (Basel, Switzerland) Jun 1, 2022
Driving event detection and driver behavior recognition have been widely explored for many purposes, including detecting distractions, classifying driver actions, detecting kidnappings, pricing vehicle insurance, evaluating eco-driving, and managing ...
Smartphone Automobile Driving Algorithms Neural Networks, Computer
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Bayesian optimization and deep learning for steering wheel angle prediction.

Scientific reports May 24, 2022
Automated driving systems (ADS) have undergone a significant improvement in the last years. ADS and more precisely self-driving cars technologies will change the way we perceive and know the world of transportation systems in terms of user experience...
Bayes Theorem Automobile Driving Neural Networks, Computer Deep Learning
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Design of Proactive Interaction for In-Vehicle Robots Based on Transparency.

Sensors (Basel, Switzerland) May 20, 2022
Based on the transparency theory, this study investigates the appropriate amount of transparency information expressed by the in-vehicle robot under two channels of voice and visual in a proactive interaction scenario. The experiments are to test and...
Voice Emotions Automobile Driving Trust Robotics
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Content Swapping: A New Image Synthesis for Construction Sign Detection in Autonomous Vehicles.

Sensors (Basel, Switzerland) May 4, 2022
Construction signs alert drivers to the dangers of abnormally blocked roads. In the case of autonomous vehicles, construction signs should be detected automatically to prevent accidents. One might think that we can accomplish the goal easily using th...
Data Collection Automobile Driving Republic of Korea Autonomous Vehicles Neural Networks, Computer
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Research on Vehicle Lane Change Warning Method Based on Deep Learning Image Processing.

Sensors (Basel, Switzerland) Apr 26, 2022
In order to improve vehicle driving safety in a low-cost manner, we used a monocular camera to study a lane-changing warning algorithm for highway vehicles based on deep learning image processing technology. We improved the mask region-based convolut...
Automobile Driving Image Processing, Computer-Assisted Accidents, Traffic Deep Learning Humans Algorithms
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A hybrid deep learning approach for driver anomalous lane changing identification.

Accident; analysis and prevention Apr 21, 2022
Reliable knowledge of driving states is of great importance to ensure road safety. Anomaly detection in driving behavior means recognizing anomalous driving states as a direct result of either environmental or psychological factors. This paper provid...
Algorithms Humans Deep Learning Automobile Driving Accidents, Traffic
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