AIMC Topic: Automobile Driving
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Driver behavior profiling: An investigation with different smartphone sensors and machine learning.
PloS one
Apr 10, 2017
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving da...
Counterfactual simulations applied to SHRP2 crashes: The effect of driver behavior models on safety benefit estimations of intelligent safety systems.
Accident; analysis and prevention
Mar 16, 2017
As the development and deployment of in-vehicle intelligent safety systems (ISS) for crash avoidance and mitigation have rapidly increased in the last decades, the need to evaluate their prospective safety benefits before introduction has never been ...
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...
Support Vector Machine Classification of Drunk Driving Behaviour.
International journal of environmental research and public health
Jan 23, 2017
Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on the human central nervous system. This study conducted a detection process to distinguish drunk driving from normal driving under simulated driving condition...
Minimalistic optic flow sensors applied to indoor and outdoor visual guidance and odometry on a car-like robot.
Bioinspiration & biomimetics
Nov 10, 2016
Here we present a novel bio-inspired optic flow (OF) sensor and its application to visual guidance and odometry on a low-cost car-like robot called BioCarBot. The minimalistic OF sensor was robust to high-dynamic-range lighting conditions and to var...
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...
Why public health should embrace the autonomous car.
Australian and New Zealand journal of public health
Oct 23, 2016
Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI.
Computational intelligence and neuroscience
Jul 26, 2016
Brain-computer interfaces represent a range of acknowledged technologies that translate brain activity into computer commands. The aim of our research is to develop and evaluate a BCI control application for certain assistive technologies that can be...
Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?
Accident; analysis and prevention
Jul 18, 2016
With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. The...
Can cyclist safety be improved with intelligent transport systems?
Accident; analysis and prevention
May 14, 2016
In recent years, Intelligent Transport Systems (ITS) have assisted in the decrease of road traffic fatalities, particularly amongst passenger car occupants. Vulnerable Road Users (VRUs) such as pedestrians, cyclists, moped riders and motorcyclists, h...
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