A Novel Design for Vehicle Rollover Warning System Based Advanced Image Processing

This paper investigates a novel type of intelligent rollover warning system. Particularly, this study focuses on the speed based rollover warning messages for vehicles in a potential rollover situation on sharp curves or exit ramps. The vehicle rollover warning system (VRWS) estimates the maximum rollover threshold speed in real time according to the curvature detection of road and the vehicle dynamic sensing parameters such as slip angle, vehicle speed, vehicle acceleration, roll angle, tire model, height of gravity center. Consequently, there are two key techniques. First, the author use image recognition technology to calculate the radius of the curve. It had the advantage of real-time detection with road environment than the Global Positioning System (GPS) method which is according fixed digital map. Finally, the authors provide the maximum rollover threshold speed by the rollover index prediction model. Compared with Electronic Stability Program (ESP), this technique may provide 2 or 3 seconds early warning before the vehicle rollover occurs. It can reduce the risk of vehicle rollover on curved ramp. The effectiveness of VRWS is presented in the test results.