• DocumentCode
    178296
  • Title

    On Performance Evaluation Metrics for Lane Estimation

  • Author

    Satzoda, R.K. ; Trivedi, M.M.

  • Author_Institution
    Lab. for Intell. & Safe Automobiles, Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2625
  • Lastpage
    2630
  • Abstract
    Accurate and efficient lane estimation is a critical component of active safety systems in automobiles such as lane departure warning systems. A substantial number of lane estimation methods have been proposed and evaluated in literature. However, a common set of evaluation metrics that assess different components of lane estimation process has not been addressed. This paper proposes a set of performance evaluation metrics for lane estimation process, that can be deployed to evaluate different kinds of lane estimation algorithms. Evaluation by applying the proposed metrics is demonstrated using a recent lane estimation method.
  • Keywords
    edge detection; feature extraction; road safety; traffic information systems; active safety systems; automobile safety system; lane estimation algorithms; performance evaluation metrics; Accuracy; Estimation; Feature extraction; Lasers; Measurement; Niobium; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.453
  • Filename
    6977166