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|Title:||Highly reliable vehicle detection through CNN with attention mechanism||Author(s):||Siu, Wan Chi
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||Abstract:||
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.
|URI:||https://repository.cihe.edu.hk/jspui/handle/cihe/3587||DOI:||10.1109/ICCE53296.2022.9730525||CIHE Affiliated Publication:||Yes|
|Appears in Collections:||CIS Publication|
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