AIMC Topic: Automobiles
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A novel approach to predicting human ingress motion using an artificial neural network.
Journal of biomechanics
Dec 10, 2018
Due to the increased availability of digital human models, the need for knowing human movement is important in product design process. If the human motion is derived rapidly as design parameters change, a developer could determine the optimal paramet...
Analysis of body pressure distribution on car seats by using deep learning.
Applied ergonomics
Nov 21, 2018
This study aimed to extract information from body pressure distribution, including comfort, participant body size, and seat characteristics by using supervised deep learning, and body pressure characteristics corresponding to sensory evaluation by us...
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data.
Accident; analysis and prevention
Nov 1, 2018
The primary objective of this study is to investigate how the deep learning approach contributes to citywide short-term crash risk prediction by leveraging multi-source datasets. This study uses data collected from Manhattan in New York City to illus...
Multi-features taxi destination prediction with frequency domain processing.
PloS one
Mar 22, 2018
The traditional taxi prediction methods model the taxi trajectory as a sequence of spatial points. It cannot represent two-dimensional spatial relationships between trajectory points. Therefore, many methods transform the taxi GPS trajectory into a t...
Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor.
Sensors (Basel, Switzerland)
Feb 3, 2018
A paradigm shift is required to prevent the increasing automobile accident deaths that are mostly due to the inattentive behavior of drivers. Knowledge of gaze region can provide valuable information regarding a driver's point of attention. Accurate ...
Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles.
Science and engineering ethics
Jan 22, 2018
Ethical thought experiments such as the trolley dilemma have been investigated extensively in the past, showing that humans act in utilitarian ways, trying to cause as little overall damage as possible. These trolley dilemmas have gained renewed atte...
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.
Proceedings of the National Academy of Sciences of the United States of America
Nov 28, 2017
The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic facto...
Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.
Science and engineering ethics
Nov 13, 2017
The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical complexities emerging from an individual vehicle. That is an important but insufficient step towards determining how the technology will impact human ...
Towards social autonomous vehicles: Efficient collision avoidance scheme using Richardson's arms race model.
PloS one
Oct 17, 2017
This paper presents the concept of a social autonomous agent to conceptualize such Autonomous Vehicles (AVs), which interacts with other AVs using social manners similar to human behavior. The presented AVs also have the capability of predicting inte...
The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.
Science and engineering ethics
Sep 21, 2017
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines deliver...
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