Camera-based Advanced Driver Assistance Systems (ADAS) have concentrated many research efforts in the last decades. Proposals based on monocular cameras require the knowledge of the camera pose with respect to the environment, in order to reach an efficient and robust performance. A common assumption in such systems is considering the road as planar, and the camera pose with respect to it as approximately known. However, in real situations, the camera pose varies along time due to the vehicle movement, the road slope, and irregularities on the road surface. Thus, the changes in the camera position and orientation (i.e., the egomotion) are critical information that must be estimated at every frame to avoid poor performances. This work focuses on egomotion estimation from a monocular camera under the ADAS context. We review and compare egomotion methods with simulated and real ADAS-like sequences. Basing on the results of our experiments, we show which of the considered nonlinear and linear algorithms have the best performance in this domain.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Camera egomotion estimation in the ADAS context


    Contributors:
    Cheda, D (author) / Ponsa, D (author) / López, A M (author)


    Publication date :

    2010-09-01


    Size :

    606456 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Egomotion Estimation Using Assorted Features

    Pradeep, V. / Lim, J. | British Library Online Contents | 2012


    ADAS ADAS front camera device for vehicle

    LEE SUN HWA / HA SOO YOUNG / NA KYUNG JIN et al. | European Patent Office | 2019

    Free access

    Iso-distortion Contours and Egomotion Estimation

    Cheong, L. / Aloimonos, Y. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995



    Egomotion estimation using log-polar images

    Silva, C. / Santos-Victor, J. | IEEE | 1998