AIMC Topic: Automobiles

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Combining Grey Relationship Analysis and Neural Network to Develop Attractive Automobile Booth Design.

Computational intelligence and neuroscience Jun 20, 2020
Miryoku engineering is a design concept based on customer preferences, with the goal of creating attractive products or spaces. However, traditional Miryoku engineering faces two main issues: (1) the upper Kansei factor ranks the weights by the numbe...
Neural Networks, Computer Artificial Intelligence Automobiles Humans Engineering Interior Design and Furnishings
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Finger Gesture Spotting from Long Sequences Based on Multi-Stream Recurrent Neural Networks.

Sensors (Basel, Switzerland) Jan 18, 2020
Gesture spotting is an essential task for recognizing finger gestures used to control in-car touchless interfaces. Automated methods to achieve this task require to detect video segments where gestures are observed, to discard natural behaviors of us...
Algorithms Gestures Image Processing, Computer-Assisted Automobiles User-Computer Interface Man-Machine Systems Humans Pattern Recognition, Automated Neural Networks, Computer Fingers
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Co-existence or displacement: Do street trials of intelligent vehicles test society?

The British journal of sociology Jan 14, 2020
This paper examines recent street tests of autonomous vehicles (AVs) in the UK and makes the case for an experimental approach in the sociology of intelligent technology. In recent years intelligent vehicle testing has moved from the laboratory to th...
Humans Artificial Intelligence Automobiles London Motor Vehicles Technology Cities
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Design of a Human Evaluator Model for the Ride Comfort of Vehicle on a Speed Bump Using a Neural Artistic Style Extraction.

Sensors (Basel, Switzerland) Dec 8, 2019
The subjective evaluation of vehicle ride comfort is costly and time-consuming but is crucial for vehicle development. To reduce the cost and time, the objectification of subjective evaluation has been widely studied, and most of the approaches use a...
Neural Networks, Computer Automobiles Humans Equipment Design
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Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach.

Accident; analysis and prevention Oct 4, 2019
Predicting crash propensity helps study safety on urban expressways in order to implement countermeasures and make improvements. It also helps identify and prevent crashes before they happen. However, collecting real-time wide-coverage traffic inform...
Built Environment China Logistic Models Automobiles Accidents, Traffic Support Vector Machine Humans Risk Assessment
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Human decision-making biases in the moral dilemmas of autonomous vehicles.

Scientific reports Sep 11, 2019
The development of artificial intelligence has led researchers to study the ethical principles that should guide machine behavior. The challenge in building machine morality based on people's moral decisions, however, is accounting for the biases in ...
Automobiles Morals Artificial Intelligence Female Male Decision Making Adult Humans
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The Retribution-Gap and Responsibility-Loci Related to Robots and Automated Technologies: A Reply to Nyholm.

Science and engineering ethics Jul 2, 2019
Automated technologies and robots make decisions that cannot always be fully controlled or predicted. In addition to that, they cannot respond to punishment and blame in the ways humans do. Therefore, when automated cars harm or kill people, for exam...
Humans Male Social Behavior Automobiles Robotics
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Significance of Softmax-Based Features in Comparison to Distance Metric Learning-Based Features.

IEEE transactions on pattern analysis and machine intelligence Apr 15, 2019
End-to-end distance metric learning (DML) has been applied to obtain features useful in many computer vision tasks. However, these DML studies have not provided equitable comparisons between features extracted from DML-based networks and softmax-base...
Image Processing, Computer-Assisted Cluster Analysis Automobiles Birds Deep Learning Neural Networks, Computer Databases, Factual Animals
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AEB effectiveness evaluation based on car-to-cyclist accident reconstructions using video of drive recorder.

Traffic injury prevention Mar 1, 2019
OBJECTIVE: Though autonomous emergency braking (AEB) systems for car-to-cyclist collisions have been under development, an estimate of the benefit of AEB systems based on an analysis of accident data is needed for further enhancing their development....
Automobiles Humans Automation Accidents, Traffic Artificial Intelligence Protective Devices Deceleration
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Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way.

Accident; analysis and prevention Jan 17, 2019
Negotiations among drivers and pedestrians are common on roads, but it is still challenging for a self-driving vehicle to negotiate for its right of way with other human road users, especially pedestrians. Currently, the self-driving vehicles are pro...
Decision Making Humans Pedestrians Automobiles Artificial Intelligence Accidents, Traffic Time Factors Negotiating Risk-Taking Models, Theoretical
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