Learning and predicting human driving behavior plays an important role in the development of advanced driving assistance systems (ADAS). Speed and steering angle which reflect the longitudinal and lateral behavior of drivers are two important parameters for behavior prediction. However, traditional behavior learning methods, especially the methods based on artificial neural networks rely on the human-selected features, and thus have poor adaptability to the highly changeable traffic environment. This paper aims to overcome this drawback by using deep learning which can learn features automatically from the driving data without human interventions. Specifically, the deep belief network (DBN) is used to build the learning model, and the training data are collected from drivers driving on the real-world road. Based on the model, the steering angle of the front wheel and the speed of vehicle are predicted. The prediction results show that, compared with the traditional learning method, DBN has a higher accuracy and can adapt to different driving scenarios with much less modifications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Speed and steering angle prediction for intelligent vehicles based on deep belief network


    Contributors:
    Zhao, Chunqing (author) / Gong, Jianwei (author) / Lu, Chao (author) / Xiong, Guangming (author) / Mei, Weijie (author)


    Publication date :

    2017-10-01


    Size :

    842951 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Steering angle prediction YOLOv5-based end-to-end adaptive neural network control for autonomous vehicles

    Ye, Cunliang / Wang, Yongfu / Wang, Yunlong et al. | SAGE Publications | 2022


    Intelligent Transportation Activity Recognition Using Deep Belief Network

    Alazeb, Abdulwahab / Khan, Danyal / Jalal, Ahmad | IEEE | 2024


    Steering angle sensor for motor vehicles

    SCHNIEDERS AXEL / STOLLBERG MARKUS / FRANZ HOLGER | European Patent Office | 2015

    Free access

    Intelligent steering wheel steering force and steering angle measuring device

    CHEN LIANG / CHEN JINKE | European Patent Office | 2024

    Free access