Precise and robust distance measurement is one of the most important requirements for driving assistance systems and automated driving systems. In this study, the authors propose a new method for providing accurate distance measurements through frequency-domain analysis based on a stereo camera by exploiting key information obtained from the analysis of captured images. Moreover, the proposed method was extensively tested and evaluated on a real urban road, highway and tunnel. Based on these results, the authors show that the proposed method provides more precise distance information in real time compared with conventional algorithms. By applying the authors' methodology to measure the distances of various objects, it can be demonstrated that their algorithm offers an improvement of up to 10%.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Accurate object distance estimation based on frequency-domain analysis with a stereo camera


    Beteiligte:
    Yoo, In-Sub (Autor:in) / Seo, Seung-Woo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2017-05-01


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    LiDAR - Stereo Camera Fusion for Accurate Depth Estimation

    Cholakkal, Hafeez Husain / Mentasti, Simone / Bersani, Mattia et al. | IEEE | 2020


    Method and apparatus for distance estimation using stereo camera

    Europäisches Patentamt | 2021

    Freier Zugriff

    Method and apparatus for distance estimation using stereo camera

    LEE DONG HA / LEE JAE HONG | Europäisches Patentamt | 2018

    Freier Zugriff

    Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving

    Saito, Toru / Okubo, Toshimi / Takahashi, Naoki | IEEE | 2020