A Vehicle Rollover Warning Approach Based on Neural Network and Support Vector Machine
This paper studies the vehicle rollover warning based on the vehicle running state parameters which are easy for collecting. By taking advantages of neural network and support vector machine, this paper analyzes the probabilities of the vehicle rollover in the scenario of single lane change and establishes a warning model which could predict the rollover 0.4 seconds in advance for a particular type of vehicle. According to the validation experiments on Ve-DYNA which is a vehicle dynamic simulation software, the results validate the warning models good performance with the maximum error as 0.04 second and no missing cases which indicates its validity for rollover warning.
vehicle security neural network support vector machine rollover warning
Xiaoping Du Liantao Lu Huamei Sun Yun Li Jiaojiao Song
College of Software Beihang University, Beijing, China
国际会议
重庆
英文
111-115
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）