Please use this identifier to cite or link to this item:
Title: Highly reliable vehicle detection through CNN with attention mechanism
Author(s): Siu, Wan Chi 
Liu, Zhisong 
Author(s): Wang, L.-W.
Yang, X.-F.
Lun, D. P. K.
Issue Date: 2022
Publisher: IEEE
Related Publication(s): Proceedings of 2022 IEEE International Conference on Consumer Electronics (ICCE)
Start page: 402
End page: 403
This 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.
DOI: 10.1109/ICCE53296.2022.9730525
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

SFX Query Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.