AIMC Topic: Automobile Driving
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A trial of retrofitted advisory collision avoidance technology in government fleet vehicles.
Accident; analysis and prevention
Mar 13, 2018
In-vehicle collision avoidance technology (CAT) has the potential to prevent crash involvement. In 2015, Transport for New South Wales undertook a trial of a Mobileye 560 CAT system that was installed in 34 government fleet vehicles for a period of s...
Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering.
Biological cybernetics
Feb 16, 2018
A conceptual and computational framework is proposed for modelling of human sensorimotor control and is exemplified for the sensorimotor task of steering a car. The framework emphasises control intermittency and extends on existing models by suggesti...
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 ...
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods.
Neural networks : the official journal of the International Neural Network Society
Jan 31, 2018
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Con...
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...
Edge conditions and crash-avoidance roles: the future of traffic safety in the world of autonomous vehicles.
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
Jan 20, 2018
Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network.
Accident; analysis and prevention
Dec 22, 2017
Identification of the significant factors of traffic crashes has been a primary concern of the transportation safety research community for many years. A fatal-injury crash is a comprehensive result influenced by multiple variables involved at the mo...
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...
Alzheimer's disease and driving: review of the literature and consensus guideline from Belgian dementia experts and the Belgian road safety institute endorsed by the Belgian Medical Association.
Acta neurologica Belgica
Oct 5, 2017
Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions ...
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