Siu, Wan ChiWan ChiSiuLiu, ZhisongZhisongLiuWang, L.-W.Yang, X.-F.Lun, D. P. K.2022-10-132022-10-132022https://repository.sfu.edu.hk/handle/sfu/3587This paper presents a novel approach to provide reliable vehicle detection by using CNN-based approach and lane information. We firstly propose an adaptive RoI strategy that utilizes road lane information to give focus on frontal area for vehicle detection. Then we introduce a novel attention mechanism that automatically learns an attention map to refine the features for detection. Experimental results show a large improvement (+73 % on recall rate) for long-range (30 to 60m) vehicle detection which is extremely useful for users of driving assistant systems.enconference proceedings10.1109/ICCE53296.2022.9730525