AIMC Topic: Motor Vehicles

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Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle.

PloS one Mar 16, 2018
Marine protected areas (MPAs) are designed to reduce threats to biodiversity and ecosystem functioning from anthropogenic activities. Assessment of MPAs effectiveness requires synchronous sampling of protected and non-protected areas at multiple spat...
Conservation of Natural Resources Oceans and Seas Immersion Robotics Motor Vehicles Environmental Monitoring
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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...
Surveys and Questionnaires Accidents, Traffic Safety Male Emergencies Humans Artificial Intelligence Female Adult Protective Devices Technology New South Wales Automobile Driving Motor Vehicles Attitude
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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
Artificial Intelligence Accidents, Traffic Safety Humans Motor Vehicles Automobile Driving Consumer Product Safety Automation
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Machine learning, social learning and the governance of self-driving cars.

Social studies of science Nov 21, 2017
Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as wel...
Technology Accidents, Traffic Social Learning Motor Vehicles Humans Machine Learning
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Examining accident reports involving autonomous vehicles in California.

PloS one Sep 20, 2017
Autonomous Vehicle technology is quickly expanding its market and has found in Silicon Valley, California, a strong foothold for preliminary testing on public roads. In an effort to promote safety and transparency to consumers, the California Departm...
Safety Automation Motor Vehicles California Robotics Accidents, Traffic Humans Risk Factors
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Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

PloS one Jul 3, 2017
To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving...
Machine Learning Electricity Motor Vehicles Probability Algorithms Conservation of Energy Resources Models, Theoretical Vehicle Emissions
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Multi-vehicle detection with identity awareness using cascade Adaboost and Adaptive Kalman filter for driver assistant system.

PloS one Mar 15, 2017
Vision-based vehicle detection is an important issue for advanced driver assistance systems. In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identi...
Automobile Driving Motor Vehicles Artificial Intelligence Algorithms Humans
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Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research.

Computational intelligence and neuroscience Oct 31, 2016
The effect of traffic flow prediction plays an important role in routing selection. Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortco...
Motor Vehicles Time Factors Automobiles Automobile Driving Algorithms Data Mining Humans Probability Forecasting Neural Networks, Computer
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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security.

PloS one Jun 7, 2016
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to enhance the security of in-vehicular network. The parameters building the DNN structure are trained with probability-based feature vectors that are extracted fr...
Models, Theoretical Motor Vehicles Neural Networks, Computer
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Adaptive Neuro-Fuzzy Determination of the Effect of Experimental Parameters on Vehicle Agent Speed Relative to Vehicle Intruder.

PloS one May 24, 2016
Intelligent Transportation Systems rely on understanding, predicting and affecting the interactions between vehicles. The goal of this paper is to choose a small subset from the larger set so that the resulting regression model is simple, yet have go...
Models, Theoretical Neural Networks, Computer Fuzzy Logic Motor Vehicles Algorithms
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