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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.453