Application of Support Vector Machine in Lane Change Recognition
نویسندگان
چکیده
Aiming at the lane change behavior recognition requirements for vehicle active safety system, natural driving test in real road were carried out and different parameters related to lane change behavior were collected synchronously. Firstly, parameters were processed with Kalman filter to increasing the potential relevance among sample data. Then, SVM model was established for lane change recognition. Lastly, data normalization, principal component analysis method, and bayesian network were adopted to optimize the SVM model. The recognize rate of lane change with 1.2 second time window increased from 93.9% to 98.7% by using these optimization measures. It can be meet the requirements of effectiveness and real-time for vehicle active safety system, such as lane change warning system or lane departure warning system.
منابع مشابه
Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds
In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...
متن کامل2D Dimensionality Reduction Methods without Loss
In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were used to improve the performance of its predictive model, which was a support vector machine (...
متن کاملApplication of Support Vector Machine Regression for Predicting Critical Responses of Flexible Pavements
This paper aims to assess the application of Support Vector Machine (SVM) regression in order to analysis flexible pavements. To this end, 10000 Four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...
متن کاملA hybrid EEG-based emotion recognition approach using Wavelet Convolutional Neural Networks (WCNN) and support vector machine
Nowadays, deep learning and convolutional neural networks (CNNs) have become widespread tools in many biomedical engineering studies. CNN is an end-to-end tool which makes processing procedure integrated, but in some situations, this processing tool requires to be fused with machine learning methods to be more accurate. In this paper, a hybrid approach based on deep features extracted from Wave...
متن کاملDetection and prediction of lane-changes: A study to infer driver intent using support vector machine
The master thesis in this report has been made in cooperation between Scania CV AB in Södertälje and the department of machine design at KTH in Stockholm. Scania CV AB is a leading manufacturer of heavy trucks, buses and coaches, and industrialand marine engines. Increasing road safety demands for vehicles in development has resulted in a new generation of safety systems, called Advanced Driver...
متن کامل