The vehicle driver safety prediction system

MANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios

Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...

The Interaction between Relative Vehicle Secondary Safety and Driver Demographics

Vehicle safety rating programs based on crash tests have been criticised that they use crash test dummies that represented a limited range of body shapes. Therefore, such tests may not be addressing the safety needs of occupants whose body shapes do not correspond to that of the test dummies. Similarly, vehicle safety ratings programs based on real world crash data, such as the Used Car Safety ...

Real Time Driver Safety System

Vehicle Position Estimation for Driver Assistance System

We present a system that finds road boundaries and constructs the virtual lane based on fusion data from a laser and a monocular sensor, and detects forward vehicle position even in no lane markers or bad environmental conditions. When the road environment is dark or a lot of vehicles are parked on the both sides of the road, it is difficult to detect lane and road boundary. For this reason we ...

manfis based modeling and prediction of the driver-vehicle unit behavior in overtaking scenarios

overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. in this study, two novel prediction models for overtaking behavior are proposed. these models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (manfis). they are validated at microscopic level and are able to simulate and predict the future...