This work presents a driver assistance system to detect brake and parking signals. Vehicle present ahead of the host vehicle performs sudden action such as applying brakes. The host vehicle’s driver must respond in real time to avoid accidents or collisions. Detection of action performed by a leading vehicle using its taillights is implemented with computer vision and machine learning techniques. Features are extracted using scale invariant feature transform (SIFT) and accelerated-KAZE (AKAZE). The dimensions are reduced using K-means clustering and then by principal component analysis (PCA). Five classification models have been trained to evaluate the performance. Random forest classifier provided the highest accuracy of 82% among all classifiers. Voting classifier provides final prediction based on five classification model’s output. It provided 81% accuracy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver Assistance System for Recognition of Brake and Parking Signal


    Additional title:

    Lect. Notes in Networks, Syst.




    Publication date :

    2023-03-18


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Method for driver assistance system to release electro-hydraulic parking brake

    KINDER RALF / JU PPELZ MATTHIAS | European Patent Office | 2024

    Free access

    METHOD FOR A DRIVER ASSISTANCE SYSTEM FOR RELEASING AN ELECTRO-HYDRAULIC PARKING BRAKE

    JUMPERTZ MATTHIAS / KINDER RALF | European Patent Office | 2024

    Free access

    DEVICE/METHOD FOR PARKING BRAKE ASSISTANCE

    FARRES LIONEL / DUSSAPT FABRICE | European Patent Office | 2021

    Free access

    Device/method for parking brake assistance

    FARRES LIONEL / DUSSAPT FABRICE | European Patent Office | 2023

    Free access

    DRIVER IN THE LOOP PARALLEL PARKING ASSISTANCE SYSTEM

    PARKILA MAGDALENA M / GOODARZI AVESTA / WEIGERT NORMAN J et al. | European Patent Office | 2024

    Free access