Abnormal moving vehicle detection for driver assistance system in nighttime driving


This paper proposes a new approach of abnormal vehicle detection for frontal and lateral collision warnings in nighttime driving using monocular vision. Motion information is used to estimate moving objects. An empirical threshold range is introduced to eliminate efficiently most of non-vehicle regions. Vehicle candidates are segmented by using K-means… (More)
DOI: 10.1109/ICCE.2016.7430655


3 Figures and Tables